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Poster
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Title
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First Author
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Paper PDF
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B1
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Anticipatory visual cortical dynamics of temporal expectation and voluntary temporal attention
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Tian, Karen J.
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A1
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Reinforcement-Based Control of Information Processing in Recurrent Neural Networks Produces Optimal Speed-Accuracy Tradeoff
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Grahek, Ivan
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C1
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Contextual Information Representation of Objects-Scenes in Deep CNNs: Effects of Training and Architectures
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Ohlan, Rahul
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B2
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Multiplexing midbrain neurons entrain movement dependent decision-making
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Shin, Wooyeon
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C2
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Current DNNs are Unable to Integrate Visual Information Across Object Discontinuities
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Lonnqvist, Ben
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A2
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Recurrent Convolutional Neural Network Predicting Early Visual Recognition on Dynamic Handwriting Images
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Cho, Sungjae
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A3
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Beta Oscillations Mediate Responses to Counterfactual Feedback During Decision-Making
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Fink, Alexandra
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B3
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Localised and stable codes for goal and direction mix with a distributed control signal during multi-step spatial inference in monkey frontal cortex
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Achterberg, Jascha
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C3
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Robustness to object rotation in humans and deep neural networks
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Al-Tahan, Haider
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B4
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Estimating flexible across-area communication with neurally-constrained RNN
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Barbosa, Joao
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C4
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Generative perceptual inference in deep neural network models of object recognition induces illusory contours and shapes
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Toosi, Tahereh
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A4
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Early-life unpredictability modulates planning horizon in a structured foraging task
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Chen, Yifei
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A5
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Understanding decision dynamics in the basal ganglia under conflict and uncertainty
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Ging-Jehli, Nadja R.
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C5
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Fast and robust visual recognition young children
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Ayzenberg, Vladislav
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B5
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Neural Dynamics in Dorsolateral Prefrontal Cortex Underlying Flexible Perceptual Decision-Making
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Wang, Tian
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A6
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Understanding the influence of uncertainty and noise on spatial decision dynamics
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Xiong, Yirong
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C6
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Recurrent issues with deep neural networks of visual recognition
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Maniquet, Timothée
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B6
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Evaluating theories of neural information integration during visual search
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Leite, Abe
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C7
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Contrasting computational models of task-dependent readout from the ventral visual stream
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Singer, Johannes J.D.
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B7
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A Novel Method for Evaluating Expert Multiple Object Tracking Using Competitive Esport
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Simmons, Trent
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A7
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Dynamic self-efficacy updating leads to optimistic overgeneralization
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Li, Jing
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B8
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Revealing human planning strategies with eye tracking
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Callaway, Frederick
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C8
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Predicting human perceptual similarity and memory false alarms using visual and semantic deep neural networks
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Kurilenko, Natalia
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A8
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The Developmental of Superstitions in Uncontrollable Environment
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Lu, Haoyang
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B9
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RTNet: An image computable model of human choice, response time, and confidence
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Shekhar, Medha
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A9
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State-dependent Online Reactivations for Different Learning Strategies in Virtual Foraging
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Son, Sangkyu
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C9
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Deep Neural Networks Are Predictive of Neural Data Through Textures
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Loke, Jessica
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A10
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Behavioral and neural evidence for dynamic model arbitration in dorsolateral prefrontal cortex
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Woo, Jae Hyung
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B10
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A Generative Grammar for Automatically Designing Experiments on Human Learning and Decision Making
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Eckstein, Maria
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C10
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Assessing equivariance in visual neural representations
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Jagadeesh, Akshay
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B11
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Reward probability encoding in human neurons
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Price, Alexander
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A11
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Primate Gaze Behavior Reflects Dynamic Decision-Making in Naturalistic Navigation
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Choi, Woochul
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C11
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Constraining vision models to predict image memorability yields significant gains in producing more brain-aligned models of the primate ventral stream
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Ahuja, Ram
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A12
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Episodic memory is used to access features of past experience for flexible choice
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Nicholas, Jonathan
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B12
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Interictal epileptiform discharges disrupt neural computations underlying cognitive control and value-based decision making
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Shahdoust, Niloufar
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C12
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DNN-based encoding models for the visual cortex fail to generalize out of the training data distribution.
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Madan, Spandan
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A13
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Flexible Hippocampal Representation of Abstract Boundaries Supports Memory-guided Choice
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Esposito, Mariachiara
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B13
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Choice Stochasticity and Cognitive Imprecision Across Value Tasks
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Haeffner, Clara E.
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C13
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Unlike Brains, Pre-trained CNNs do not Encode Current or Predicted Object Contact
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Pramod, RT
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C14
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Disentangling Intermediate Representations in Sound-to-Event DNNs using Invertible Flow Models
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Dick, Tim
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B14
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The Perils of Omitting Omissions when Modeling Evidence Accumulation
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Leng, Xiamin
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A14
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Human Behavior is Best Predicted by a Novel Successor Representation Learning Rule
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Kahn, Ari
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A15
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Distinct policy identification via model-based belief update
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Alefantis, Panos
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C15
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ReAlnet: Achieving More Human Brain-Like Vision via Human Neural Representational Alignment
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Lu, Zitong
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B15
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Neural dynamics of reversal learning in the prefrontal cortex
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Kim, Christopher
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C16
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Image-computable encoding models of human broadband iEEG responses to natural images reveal time-dependent representations
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St-Yves, Ghislain
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A16
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Emergent active sensing behaviors in artificial electric fish agents
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Johnson-Yu, Sonja
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B16
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Comparing primacy effects across different temporal scales to distinguish between theories of evidence integration
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Chattoraj, Ankani
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C17
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EEG-Features for Generalized Deepfake Detection
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Beckmann, Arian
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B17
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Evidence accumulation across the senses in the face of causal uncertainty
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Beurskens, Jochem
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A18
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Limitations in planning abilities in AlphaZero
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Lin, Daisy
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B18
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Predicting human behavioral decisions with recurrent neural networks
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Cheng, Yu-Ang
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C18
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Optimizing for Possible Feature Combinations in Discriminative Vision Models
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Hamblin, Christopher
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C19
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Partial observation can induce mechanistic mismatches in data-constrained RNNs
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Qian, William
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A19
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Bidirectional Interactions between Evidence Accumulation and Rule Learning during Sensory Predictions
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Benjamin, Lucas
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B19
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Recurrent neural network and cognitive models extract different information from task behavior for predicting psychiatric traits
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Cai, Ming Bo
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A20
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High-resolution tracking of internal model formation using automated live-in training
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Affan, Rifqi O.
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B20
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Characterizing attractor geometry in human decision making via low-dimensional RNNs
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Xiong, Hua-Dong
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C20
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Inferring Network Structure from Neural Activity in a Biologically-Constrained Model of the Insect Olfactory System
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Joshi, Shruti
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C21
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Representational sparsity determines representational stability in sensory cortices
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Qin, Shanshan
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B21
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Age-related differences in visual statistical learning during face and scene working memory
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Oh, Hwamee
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A21
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A Domain-general Strategy for Hidden-state Inference in Humans and Noisy Neural Networks
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Lee, Junseok
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B22
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Age-related declines in visual working memory capacity are linked to reduced levels of parietal glutamate.
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nassar, matthew
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A22
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Latent cause inference as an efficient and flexible learning rule for cognitive graphs
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Yoo, Jungsun
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C22
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A comprehensive large-scale model of primary visual cortex (V1)
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Rawat, Shivang
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C23
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Neural Manifold Capacity Captures Representation Geometry, Correlations, and Task-Efficiency Across Species and Behaviors
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Chou, Chi-Ning
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B23
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(Eye-)Tracking of Task-dependent Representational Dynamics in Working Memory
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Zorbek, Dilara
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A23
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Emergence of Modular Structure in the Recurrent Neural Network During Incremental Multi-task Learning
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Wu, Yuhang
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B24
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Unethical amnesia brain: Memory and metacognitive distortion induced by dishonesty
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Xu, Xinyi
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C24
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Representational geometry, not topography, best characterizes human neural activity in transmodal brain areas
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Petre, Bogdan
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A24
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Understanding and Optimizing Temporal Credit Assignment in Biological and Artificial Neural Networks using Dynamical Systems Theory
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Engelken, Rainer
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A25
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Learning Dynamics and Geometry in Recurrent Neural Controllers
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Huang, Ann
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C25
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Overcoming sensory-memory interference in artificial and biological neural networks
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Zahorodnii, Andrii
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B25
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Contributions of Reinforcement Learning Variables to the Intracranial Reward Positivity
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Cowan, Rhiannon L.
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B26
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Computational mechanisms of aversive generalisation in anxiety
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Verra, Luianta
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A26
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Geometry of naturalistic object representations in models of working memory
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Lei, Xiaoxuan
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C26
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Capacity of the Neuroidal Model for Shared Memory Representations
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Perrine, Patrick
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A27
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Inverse stochastic learning
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Tomov, Momchil
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B27
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Absence of Systematic Effects of Trait Anxiety on Learning Under Uncertainty
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Satti, Muhammad Hashim
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C27
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Toward Structural Similarities between the Brain and Neural Networks
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Cho, Minsung
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A28
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Bayesian inference for correlations between brain activity patters
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Diedrichsen, Jörn
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B28
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Anxiety is associated with reduced pupillary response to volatility
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Shang, Sophie
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C28
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Are Astrocytes the Missing Hidden Layer? Harnessing the Tripartite Synapse Architecture for Cognitive Control of Behavior
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Simandl, Gregory J
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C29
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Segregated neuronal populations in prefrontal cortex encode task variables during working memory
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Wimmer, Klaus
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A29
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Individual brain parcellations for cognitive mapping obtained from a hierarchical Bayesian framework
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Pinho, Ana Luísa
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B29
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N3 sleep ameliorates anxiety-induced amplified reward learning in dynamically changing environments
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Deshmukh, Rakshita
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C30
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Inter-hemispheric prefrontal mechanisms of within- and across-trial working memory
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Tschiersch, Melanie
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A30
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Exploring optimal risk-sensitive behavior in the Balloon Analogue Risk Task (BART)
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Sui, Xin
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B30
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Attention-Dependent Perceptual Learning in a CNN Model of the Visual System
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Maher, Thomas
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B31
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Bottom-Up and Top-Down Attention in Value-Based Choice
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Konovalov, Arkady
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C31
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The Learning Hypothesis on Spatial Receptive Field Remapping
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Kuo, Henry
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A31
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Source Invariance and Probabilistic Transfer: A Testable Theory of Probabilistic Neural Representations
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Kriegeskorte, Nikolaus
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B32
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Positive Reward Bias on Human Reinforcement Learning under Increased Dopaminergic Neurotransmission
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Zalta, Arnaud
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A32
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Cognitive Integration – How Task Representations Integrate Information from Multiple Sources
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Leach, Stephanie
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C32
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The Beat of a Glimpse: Investigating Saccadic Timing in Response to Visual Rhythms
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Rengarajan, Sundararaman
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B33
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Planning With Others in Mind
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Arfaei, Nastaran
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C34
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A Causal Role for the Posterior Parietal Cortex in Mediating Serial Dependence during Visuospatial Attention
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Jain, Raj V
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A34
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The role of causal inference in audiovisual spatial recalibration
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lou, wenshu
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B34
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Deciphering the meta-cognitive experiences in creative problem-solving
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Lu, Yang-Fan
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A35
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Opinion: Naive psychology depends on naive physics
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Liu, Shari
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C35
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Dynamic recovery of the size of the attentional field in visual cortex
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Bakst, Leah
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B35
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Individual differences in strategic exploration may reflect rational consideration of learning
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Nussenbaum, Kate
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A36
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Modeling Surprise in a Physically Grounded Joint Inference of Preference, Knowledge, and Perceptual Access
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Chen, Harry
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C36
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Properties of distracting speech affect attentional entrainment to audiovisual “cocktail-party” speech
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Wikman, Patrik
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B36
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How does social learning affect stable false beliefs?
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Budiono, Rheza
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A37
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How does shared reality generalize?
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Mahaphanit, Wasita
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B37
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Development of structure inference contributes to age-related differences in exploration
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Harhen, Nora C.
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C37
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Attention Alters the Representational Geometry of a Perceptual Feature Space
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Chapman, Angus
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B38
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Brain Development of Selective Attention Enhances Credit Assignment
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Chen, Wei
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A38
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Frontoparietal regions engaged in physical prediction are also involved in spatial working memory
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Maione, Sam
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C38
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Distractor Representations in Neural Feature Dimension Maps Depend on Searched Feature Dimension
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Thayer, Daniel D.
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B39
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A Normative Account of the Influence of Contextual Familiarity and Novelty on Episodic Memory Policy
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Lu, Qihong
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C39
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Noise Correlations for Feature Learning
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Dai, Xufeng Caesar
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A39
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Fuzzy learning can decouple language and odor representations: Associative memory loss in a computational model
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Chrysanthidis, Nikolaos
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A40
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Unrevealing Neural Factors Underlying Human Intelligence with Large-Scale Functional Neuroimaging Meta-Analysis and Exploratory Factor Analysis
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Cao, Yifei
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B40
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Adaptive learning using attractor switches in RNN
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He, Qin
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C40
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Investigating the Emergence of Complexity from the Dimensional Structure of Mental Representations
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Mazumdar, Trisha
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B41
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Mice in the Manhattan Maze: Rapid Learning, Flexible Routing and Generalization, With and Without Cortex
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Zheng, Jieyu
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A41
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Deductive and Inductive Processing Dissociate in the Human Brain
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Kean, Hope H
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C41
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Universality in mouse and human visual cortex: relating covariance to the spatial structure of latent dimensions
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Gauthaman, Raj Magesh
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B42
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An algorithmic account for how humans efficiently learn, transfer, and compose hierarchically structured decision policies
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Li, Jing-Jing
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C42
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High-dimensional spectrum of reliable individual differences in visual cortex
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Han, Chihye
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A42
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Temporal regions are the epicenter of language processing in the human brain
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Tuckute, Greta
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B43
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Modeling human learning in a combinatorial bandit task
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Deng, Guangyu
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A43
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Long-Term Effects of Working Memory Retrieval from Prioritized and Deprioritized States
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Born, Frieda
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C43
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Differentiable optimization of similarity scores between models and brains
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Cloos, Nathan
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B44
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Adaptive Learning Under Uncertainty With Variational Belief Deep Reinforcement Learning
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Kuo, Po-Chen
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A44
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One system for learning and remembering episodes and rules
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Hewson, Joshua T. S.
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C44
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Impact of Stimulus Statistics on Activity Patterns in a Model of Mouse Visual Cortex
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Torabian, Parsa
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C45
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Oculomotor adaptation of visuospatial memory
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Lappe, Markus
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A45
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Map-like Representations of Lexical Features during Movie Watching
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Li, Siyang
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B45
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Building Deterministic Causal Graphs Using Reinforcement Learning in Cognitive Tasks with Evolutionary Bias
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Aitsahalia, Ines
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A46
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Neural dynamics of context transitions in spontaneous thoughts
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Heo, Kwon
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B46
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Common Sense Reasoning about Source Credibility
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Hu, Peiyao
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C46
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Predictive processing of upcoming scene views in immersive environments: evidence from continuous flash suppression
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Mynick, Anna
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A47
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Brain network dynamics predict surprise dynamics
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Zhang, Ziwei
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C47
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Event similarity and word-level salience predict how humans summarize information from complex naturalistic narratives
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Sun, Claire
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B47
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Contextual dependence of the “Knobe effect”: reversals under counterfactual contrasts
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Houlihan, Dae
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B48
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Place fields organize along goal trajectory with reinforcement learning
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Kumar, M Ganesh
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C48
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Representational Overlap Triggers Reorganization of Memories
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Babu, Anisha
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A49
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Identifying a Shared Source of Age-related Decline in Working Memory and Decision-making
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Duffy, Jade S.
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B49
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Neural manifold packing by stochastic gradient descent
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Zhang, Guanming
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C49
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In search of the embgram: forming episodic representations in a deep learning model
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DeChant, Chad
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A50
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A Discrete Motor-Independent Signature of Urgency During Human Perceptual Decision Making
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McCone, Harvey
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B50
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Emergent human-like path preferences and implicit subgoal selection in transformers learning graph traversal
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Li, Yuxuan
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C50
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Model Interval Timing with Laplace Neural Manifolds of Past and Future
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Cao, Rui
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A51
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Revealing an Unattractivity Bias in Mental Reconstruction of Occluded Faces using Generative Image Models
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Riedmann, Frederik
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B51
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Why Do Animals Need Shaping? A Theory of Task Composition and Curriculum Learning
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Lee, Jin
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C51
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High-Fidelity Movie Reconstruction based on the fMRI decoding of Hierarchical Brain Activity
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Jeong, Myeonggyo
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C52
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Semantic decoding across participants and stimulus modalities
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Tang, Jerry
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B52
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Algorithms for Neural Networks
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Morrison, John
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A52
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Confirmation Bias Is Generalizable Across Pain, Negative Emotion, and Cognitive Effort
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Yazdanpanah, Aryan
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A53
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Connectome predictive modeling of trait mindfulness
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Park, Madelynn S.
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B53
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Understanding Feature Learning in Neural Networks via Manifold Capacity and Effective Geometry
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Le, Hang
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C53
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What is a good model for brain encoding in a videogame task ?
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Paugam, François
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A54
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How goals affect information seeking
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Karni, Gili
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C54
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Towards Task-Appropriate Readout Mechanisms For Physical Scene Understanding
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Jedoui Al-Karkari, Khaled
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B54
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Dynamic neural control of task representations in humans and neural networks
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Ritz, Harrison
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B55
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Dynamics of Multi-form Task Representations during Sequence Learning
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Yang, Guochun
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A55
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On the generative mechanisms underlying the cortical tracking of natural speech
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Lalor, Edmund
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C55
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Brain-like functional organization in Topographic Transformer models of language processing
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Binhuraib, Taha Osama
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B56
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A Mathematical Theory of Context Controlled Semantic Development
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Jarvis, Devon
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A56
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Geometry of task representations in human frontal cortical neurons is predictive of task switch costs.
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Deng, Daniel
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C56
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A scaling study of self-supervised auto-regressive modelling of fMRI time series and performance on downstream sex prediction in the UK biobank sample
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Wang, Hao-Ting
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B57
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Latent variable sequence identification for cognitive models with recurrent neural networks
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Pan, Ti-Fen
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A57
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An information-theoretic perspective on speed-accuracy trade-offs and set size effects
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Liu, Shuze
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C57
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A Simple Untrained Recurrent Attention Architecture Aligns to the Human Language Network
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AlKhamissi, Badr
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C58
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Are LLMs tools to understand human neurocognition during abstract reasoning?
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Pinier, Christopher
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B58
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Multitasking leads to Generalizable Disentangled Representations in RNNs
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Vafidis, Pantelis
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A58
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Emotional cueing modulates attention and Stroop interference in high ruminators
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Singh, Selena
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A59
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Repeated Exemplar Leakage in EEG Category Decoding
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Kilgallen, Jack
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B59
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Cognitive abstractions for data-efficient learning, systematic generalization, and latent factor inference
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Del Rio, Felipe
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C59
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Human predictions of spoken language are more accurate and better aligned with neural activity than language model predictions
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Botch, Thomas
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A60
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Fast & Accurate Classification of Task Stages in ECoG Generalizes to Continues Recordings
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Khalilian-Gourtani, Amirhossein
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View PDF
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C60
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Larger Language Models Better Predict Neural Activity During Natural Language Processing
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Wang, Haocheng
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B60
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What common error patterns can tell us about human problem solving
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Ahn, Caroline
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C61
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Language use is only sparsely compositional: The Case of English Adjective-Noun Phrases in Humans and LLMs
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SATHE, Aalok
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B61
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Towards the Use of Relative Representations for Lower-Dimensional, Interpretable Model-to-Brain Mappings
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Keller, T. Anderson
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A61
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Subject-Agnostic Transformer-Based Neural Speech Decoding from Surface and Depth Electrode Signals
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Chen, Xupeng
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B62
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Do diffusion models generalize on abstract rules for reasoning?
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Wang, Binxu
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A62
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Learning along the manifold of human brain activity via real-time neurofeedback
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Busch, Erica L.
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C62
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Language evolution in large language models and humans: a comparative analysis of developmental linguistics across ages and sensory modalities.
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Yu, Gina
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A63
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Optimization of fully differentiable ODE neurons using gradient descent
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Jones, Ilenna
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A64
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Diffusion models and reinforcement learning: Novel pathways to modeling decoded fMRI neurofeedback
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Azimi Asrari, Hojjat
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B64
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HMAX Strikes Back: Self-supervised Learning of Human-Like Scale Invariant Representations
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Rodriguez, Ivan Felipe
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C64
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L1 Lexical Semantic Knowledge Shapes Statistical Word Learning
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Zinszer, Benjamin
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C65
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Human cortical auditory sensitivity adaptation to simulated hearing loss: A data-driven fMRI approach with naturalistic speech
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Al-Zubaidi, Arkan
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B65
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Topographic Deep ANN Models Predict the Perceptual Effects of Direct IT Cortical Interventions
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Schrimpf, Martin
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A65
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Drift-diffusion dynamics of the hippocampal replay
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Wu, Zhongxuan
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B66
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Human-like behavior and neural representations emerge in a goal-driven model of overt visual search for natural objects
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Pour Ahimi, Motahareh
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C66
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Temporal and Hemispheric Dynamics in Neural Processing of Auditory Stimuli Across Linguistic Complexity: A MEG Source Space Study
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Krauss, Patrick
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A66
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Pixel-Based Similarities as Alternative to Neural Data in CNN Regularization Against Adversarial Attacks
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Attias, Elie
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C67
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Improved Modeling of EEG Responses to Natural Speech Acoustics Using Dynamic Temporal Response Functions
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Dou, Jin
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B67
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A single computational objective may not be sufficient for human-like face discrimination
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Marvi, Ammar
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A67
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Let’s disagree to agree: Model identifiability through disagreeability
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Cheung, Brian
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B68
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Inferotemporal Cortex Underlies Primate Generalization Capabilities and Brain-Aligned Models Generalize Better
|
I Gusti Bagus, Marliawaty
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C68
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The spatio-temporal dynamics of speech feature encoding in aging and aphasia
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Kries, Jill
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A68
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Modeling Visual Memorability Assessment: A Computational Approach Using Autoencoders
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Bagheri, Elham
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C69
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Perceived AI Consciousness: A Quantitative Exploration of Human Responses
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Kang, Bongsu
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B69
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Naturalistic dataset augmentations lead to more human-like recognition of occluded objects in convolutional neural networks.
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Coggan, David
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A69
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The Expressivity of Random Neural Networks with Learned Inputs
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Ryoo, Avery Hee-Woon
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B70
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Easing into learning: How and why a sequential curriculum improves visual learning generalization
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Volk, Charlotte
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C70
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Functional Connectivity Classification in ECoG during Speech Perception and Production
|
Esmaeili, Yasamin
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A70
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Predictivity and specificity for model-brain alignment methods
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Thobani, Imran
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C71
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Reliable individual differences in brain responses during naturalistic movie viewing
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Feilong, Ma
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A71
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Estimating shape distances on neural representations with limited samples
|
Larsen, Brett W.
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B71
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Recurrent Attentional Selection Can Explain Flexible Trading of Accuracy and Energy in Biological Vision
|
Butkus, Eivinas
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A72
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A Graph Neural Network Framework to Model Human Reasoning
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Do, Quan
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B72
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Using CNNs to understand how bottom-up and top-down processes shape human face detection
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Tasliyurt Celebi, Sule
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C72
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Localization differences between face symmetry and abstract symmetry perception within the high-level visual cortices
|
Gokcay, Didem
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C73
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Decomposition of brain calcium signals in a Pavlovian learning task
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Nadim, Farzan
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A73
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Unfolding mental spaces onto a plane.
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Gosselin, Frédéric
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B73
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Recurrent models optimized for face recognition exhibit representational dynamics resembling the primate brain
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Adeli, Hossein
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A74
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Use case determines the validity of neural systems comparisons
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Grant, Erin
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C74
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Evoked responses and transient beta events reveal the frontal microcircuit dynamics of inhibitory control during response inhibition
|
Diesburg, Darcy
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B74
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Evaluating the perceptual alignment between generative visual models and human observers on 3D shape inferences
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Bonnen, Tyler
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A75
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Pruning sparse features for cognitive modeling
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Truong, Nhut
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B75
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A biologically plausible route to learn 3D perception
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Lee, Wanhee
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A76
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Topological turning points across the human lifespan
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Mousley, Alexa
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C76
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Analyzing Differences in Processing Nouns and Verbs in the Human Brain using Combined EEG and MEG Measurements
|
Kölbl, Nikola
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B76
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Measuring Alignment between Human and Artificial Intelligence with Representational Similarity Analysis
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Ogg, Mattson
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A77
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A taxonomy of multifunctionality in connectome-constrained neuromorphic computers
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Morra, Jacob
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B77
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Delineating the set of faces perceived as natural in the Basel Face Model
|
Bossio, Veronica
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C77
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Investigating the Timescales of Language Processing with EEG and Language Models
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Turco, Davide
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C78
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Exploring language network neural oscillations at the single-trial level
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Huybrechts, Mathias
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A78
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Emergence of in-context structure detection through self-supervised learning
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orhan, Pierre
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B78
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Scaling Laws for Task-Optimized Models of the Primate Visual Ventral Stream
|
Gokce, Abdulkadir
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C79
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Improving Neural Decoding by Integrating Information Over Time
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Li, Zhuoyang (Gio)
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A79
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A Computational Framework for Sound Localization in Auditory Scenes
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Govindarajan, Lakshmi Narasimhan
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B79
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The Role of Image Quality in Shaping Neural Network Representations and Performance
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Lee, Jason
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A80
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Psychoacoustic phenomena explained by auditory task optimization
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Saddler, Mark
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B80
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Modeling the human brain: investigating stimulus-response transformations in complex, time-continuous environments using deep neural networks
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Haberland, Sabine
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C80
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Reinforcement Learning Over Complex Naturalistic Scenes
|
Ehrlich, Daniel B.
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B81
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Predicting brain activation does not license conclusions regarding DNN-brain alignment: The case of Brain-Score
|
Malhotra, Gaurav
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A81
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Invariant representations of words are rapidly constructed across the auditory cortical hierarchy
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Boebinger, Dana
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C81
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Exploring the similarity space of visual art
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Vessel, Edward
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A82
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Deep neural networks, trained on invariant recognition tasks, struggle to predict hierarchical invariance of speech representations in auditory cortex
|
Liao, Guoyang
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C82
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Greater sensitivity of hippocampus and striatum to visual statistical learning in adults compared to children
|
Lanka, Pradyumna
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B82
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Visual Feature-Based Brain Decoding Yields Weight Maps Better Aligned with Scene Understanding than Classification
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Le, Chenqian
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C83
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Improving metacognitive ability with practice
|
Boundy-Singer, Zoe
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B83
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Tracking in space and features with phase synchrony
|
Muzellec, Sabine
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A83
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Laminar Processing in Primary Auditory Cortex ‘Untangles’ Vocalization Representations During an Active Categorization Task
|
Sadagopan, Srivatsun
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A84
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Spontaneous Emergence of Periodotopic Map through Neuronal Interference in Auditory Cortex
|
Cheon, Jeonghwan
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C84
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Learning of predictable rules mixed with random reinforcement in humans
|
Jin, Leo
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B84
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Walk a mile in my shoes! 3D visual perspective taking in humans and machines.
|
Zhou, Peisen
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A85
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Reconstructing sound from auditory spiking trains
|
Liu, Po-Ting
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B85
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Humans and deep neural networks can use perceptual features to determine physical stability
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Aulet, Lauren
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C85
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Why some simple probabilistic rules are difficult to learn: A hypothesis diffusion model
|
Chen, Jianbo
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B86
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Spatial computing: utilizing cortical space to dynamically control the cognitive status of neural representations
|
Brandyopadhyay, Abhirup
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C86
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Pattern separation using compressed and semantic representations of memory
|
Zhou, Dale
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A86
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Roe: Reducing hallucination in large language models via a computational-efficient fine-tuning inspired by human learning and child development
|
Liu, Xueqing
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A87
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Attention as a Driving Force in Large Language Model Advancements
|
Li, Xiaoyan
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C87
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Expectation generation and its effect on subsequent perception in pain and vision
|
Botvinik-Nezer, Rotem
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B87
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Spatially- and non-spatially tuned hippocampal neurons exhibit distinct linear and non-linear representations
|
Daigle, Maxime
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A88
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Evaluating Predictive Performance and Learning Efficiency of Large Language Models with Think Aloud in Risky Decision Making
|
Xie, Hanbo
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C88
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Prior-variance-dependent alterations in perceptual inference relate to hallucination severity in schizophrenia
|
Mihali, Andra
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B89
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Emergence of complementary learning systems through meta-learning
|
Zhou, Zhenglong
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C89
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Efficient Neural Compression of Sensory Information during Human Category-Based Decisions
|
Drevet, Julie
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A89
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Framework for a Generative Multi-modal model of Embodied Thought
|
Zelinsky, Gregory
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C90
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Adapting to time: why nature chose to evolve a diverse set of neurons
|
Habashy, Karim
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B90
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Predictive Learning for Self-Supervised Mapping and Localization
|
Chapman, William
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A90
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Word-Order Error Detection Helps Data-Efficient Language Models Learn Syntax
|
Fung, Alexander
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B91
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A Feedback Model of Flexible Context Guided Sensory Processing
|
Iyer, Abhiram
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A91
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Extracting Object Feature Norms from Large Language Models
|
Mazurchuk, Stephen
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B92
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Replicating spectro-temporal dynamics in neurobiologically realistic neural networks via a self-supervised approach
|
Nejat, Hamed
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C92
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Continual learning in artificial neural networks as a computational framework for understanding representational drift in biological systems
|
Anthes, Daniel
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A92
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Discovering the perceptual space of natural sounds from similarity judgments
|
Hicks, Jarrod M
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B93
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An account of the genesis of the parvo- and magnocellular division based on early visual experience
|
Vogelsang, Lukas
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A93
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Towards Semantic Classification of Dialog using Contextual Prediction Networks
|
Doboli, Alex
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C93
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Paradoxical replay maintains unbiased and robust representations of task structure
|
Chen, Hung-Tu
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C94
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'Reusers' and 'Unlearners' display distinct effects of forgetting on reversal learning in mice and artificial neuronal networks
|
Elpelt, Jonas
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A94
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The language network occupies a privileged position among all brain voxels predicted by a language-based encoding model
|
Ayesh, Eyas
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B94
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The Effect of Attention on Contrast Response Functions in Convolutional Neural Networks
|
Srivastava, Sudhanshu
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A95
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Human Curriculum Effects Emerge with In-Context Learning in Neural Networks
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Russin, Jacob
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B95
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A computational principle trades-off inference and adaptation dynamics
|
Wertheimer, Oded
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C96
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A Minimal and Flexible Model for Investigating Critical Learning Periods
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Lee, Sebastian
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A96
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Bidirectional Predictive Coding
|
Oliviers, Gaspard
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B96
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Distinct metacognitive and decisional process for fission and fusion illusion
|
Xie, Rao
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C97
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Brain-inspired synaptic rule for adaptive continual learning in deep neural networks
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Cho, Suhee
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A97
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A mechanistic model of genetic effects on excitation-inhibition balance in a RNN model of auditory processing
|
Ianov Vitanov, Rebeca
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B97
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Dopamine synergistic effects on lateral inhibition and neuronal excitability promote the formation of striatal ensembles
|
Bosca, Vicente
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C98
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Internal Neural Noise Progression for Emergent Classification Robustness
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Arslan, Suayb
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B98
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Emergent symmetry in a finite model of navigational neurons
|
Weinstein, Vadim
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A98
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Does Replay Suffice for Online Continual Learning in Spiking Networks?
|
Patel, Raghav
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B99
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A Multi-Region Brain Model to Shed Light on the Role of Hippocampus in Spatially Embedded Decision Tasks
|
Xie, Yi
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C99
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Local lateral connectivity is sufficient for replicating cortex-like topographical organization in deep neural networks
|
Qian, Xinyu
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B100
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Interaction of segregated resonant mechanisms along the dendritic axis in CA1 pyramidal cells: Interplay of cellular biophysics and spatial structure
|
Rotstein, Horacio
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A100
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Benchmarking Deep Learning Architectures for Predicting Visual Stimuli Given Single Neuron Spike Patterns
|
Carpenter, Raymond
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C100
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A local unsupervised learning algorithm for building a visual hierarchy
|
Passi, Ananya
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C101
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Accounting for the reliability of deep neural networks in representational modeling
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Chen, Zirui
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B101
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The landscape of functional neuron embeddings depends on regularization
|
Turishcheva, Polina
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A101
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Divisive normalization captures perceptual and neural interaction effects between temporal adaptation and contrast gain during object recognition
|
Brands, Amber M.
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A102
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Beyond feedforward: Leveraging discrepancies between humans and convolutional neural networks reveals recurrent dynamics during object recognition
|
Oyarzo, Pablo
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B102
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Impact of dendritic non-linearities on the computational capabilities of neurons
|
Lauditi, Clarissa
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C103
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Evaluating the Category Representations in Conditional Generative Adversarial Networks via Human Category Learning
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Navarro, Victor
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A103
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Convolutional neural networks align early in training with neural representations
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Scholte, H.Steven
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B103
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Discovering cognitive models in a competitive mixed-strategy game
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Liu, Peiyu
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C104
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How Predictive Coding Rescues Feed-Forward Networks on Adversarial Attacks
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Ganjidoost, Ehsan
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A104
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Data-driven deep neural network models of visual processing in Drosophila
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Skaza, Jonathan
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B104
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Computational journey from numerical cognition to arithmetic ability
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Turcu, Denis
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A105
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Configural-Shape Representation in Deep Neural Networks
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Doshi, Fenil R.
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B105
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Learning Dynamics of Linear Recurrent Neural Networks
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Proca, Alexandra M.
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C105
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Sparse predictive-coding networks account for Bayesian and ‘anti-Bayesian’ effects in human orientation perception
|
Brugger, Stefan
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C106
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Human-like feature attention emerges in task-optimized models of the cocktail party problem
|
Griffith, Ian
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B106
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Connectome-constrained spatially embedded recurrent neural networks
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Rovný, Maroš
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B107
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The inevitability and superfluousness of cell types in spatial cognition
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Luo, Xiaoliang
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A107
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Learning 3D object-centric representation through prediction with inductive bias of infants
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Day, John
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C108
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Optimal Learning in Temporally Structured Environments
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Razmi, Niloufar
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B108
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Neural Network Models of Hearing Clarify Factors Limiting Cochlear Implant Outcomes
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Banerjee, Annesya
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A108
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Equivariant Self-Supervised Learning Improves IT Predictivity
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Yerxa, Thomas
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C109
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Probing behavioral compositionality in a reconfigurable 3D environment
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Ma, Tzuhsuan
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B109
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Climbing the Ladder of Causation with Counterfactual World Modeling
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Mysore Vekatesh, Rahul
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A109
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Learning trajectories of deep neural networks during self-supervised visual representation learning
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Tousi, Ehsan
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C110
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Memory based Generalization for Cognitive Robots
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Singh, Shweta
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A110
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Brain-Inspired Embedding Model: Scaling and Perceptual Fine-tuning
|
Zhao, Stephen Chong
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A111
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Novel binary categorization task to study high-level visual object classification in macaque monkeys
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Zhang, Han
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B111
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Component encoding: Interpretable and predictive models of neural computation
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Skrill, David
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C111
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Zero-shot spatial planning in humans and deep reinforcement learning agents
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Lan, Denis C. L.
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A112
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Probing semantic and visual representations in material perception through psychophysics and unsupervised learning
|
Liao, Chenxi
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C112
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Temporal Abstraction in Animal Exploration in a Complex Environment
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Singla, Umesh
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B112
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Structural bottlenecks promote temporal coding in spiking neural networks
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Mobille, Zach
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C113
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Computational Modeling of Human Associative Learning in a Complex Approach-Avoidance Learning Task
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Usée, Franziska
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B113
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DivfreqBERT : Encoding Distinct Frequency Ranges of Brain Dynamics Based on the Complexity of the Brain
|
Bae, Sangyoon
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A113
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Evaluating and supervising vision models with multi-level similarity judgments
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Muttenthaler, Lukas
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B114
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The Role of Frequency in Shaping Features from Artificial Vision Models
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fel, thomas
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C114
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Neural Prioritisation of Past Solutions Supports Generalisation
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Hall-McMaster, Sam
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A114
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Affectless Visual Machines Explain a Majority of Variance in Human Visual Affect and Aesthetics for Natural Images
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Graham, Daniel
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C115
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Embodied memory through gaze control
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Zhang, Ruiyi
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A115
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Is visual cortex really “language-aligned”? Perspectives from Model-to-Brain Comparisons in Human and Monkeys on the Natural Scenes Dataset
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Conwell, Colin
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B116
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Neural Computations Underlying Polar Angle Asymmetries
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Xue, Shutian
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A116
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Modeling the Effects of Language on Visual Perception with Deep Learning
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Gopal, Jay
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C116
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Towards time-scale invariant reinforcement learning
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Kabir, Md Rysul
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B117
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Deep Neural Network Models of Infant Visual Cortex
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O'Doherty, Cliona
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A117
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Ecological Data and Objectives for Human Alignment
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Nagaraj, Akash
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C117
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Learning abstract features with deep RL agents in an evidence accumulation task
|
Mochizuki-Freeman, James
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C118
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Composition of simple computational tasks captures the inductive biases of animals in network models
|
Hocker, David
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A118
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Probing human visual strategies using interpretability methods for artificial neural networks
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Alghetaa, Yousif Kashef
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A119
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fMRI vision reconstruction methods robustly generalize to mental imagery
|
Kneeland, Reese
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C119
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Network computational mechanism underlying uncertainty-driven arbitration between model-based and model-free reinforcement learning
|
Wang, Siyu
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B119
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Transformer-based model captures neural representation of audio-visual speech in natural scenes
|
Yu, Wenyuan
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B120
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A single spatial transform improves predictions of neural responses by deep neural network models
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Mueller, Niklas
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C120
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Reconstruction of real-time planning processes in a multi-goal task using eye tracking
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Park, Sanghyun
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A120
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Probing Human Vision via an Image-to-EEG Encoding Model
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Lu, Zitong
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B121
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Evaluating the impact of multiscale temporal processing on sound-to-event recurrent neural networks
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Esposito, Michele
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C121
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Rationalizing sensorimotor deficits in autism spectrum disorder during spatial navigation
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chen, yizhou
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A122
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Designing salient, naturalistic “super-stimuli” with deep generative models
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Mukherjee, Shankhadeep
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B122
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Optimal stimulus selection for dissociating acoustic and semantic processing of natural sounds
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Araújo Vitoria, Maria
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C122
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Rapid mapping of abstract domains through extraction and projection of generalized velocity signals via a cognitive foundation model with grid cells
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Chandra, Sarthak
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C123
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Bayesian mechanics of learning in the brain
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Kim, Chang Sub
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A123
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Algorithmic and architectural constraints on human 3D visual inferences
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bonnen, tyler
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B123
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Encoding of Acoustic Features in Listened and Imagined MEG Responses to Melodies
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Maghsoudi Shaghaghi, Maryam
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C124
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Modeling the emergence of instrumental learning in an odor-based 2AFC task
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Chase, Juliana
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B124
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Sub-lexical processing of audiovisual speech constrains lexical competition.
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Nidiffer, Aaron
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A124
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Neural Evidence for Visual Simulation of Object Movement in the Human Visual Cortex
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Chen, Sixuan
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A125
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A Multi-Modal Neuroimaging Study on the Prediction of Alcohol Sipping Patterns in Children: Results from the ABCD Study
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Ferariu, Ana
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B125
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Decoding of Hierarchical Inference in the Human Brain during Speech Processing with Large Language Models
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Raugel, Joséphine
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C125
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Exploring How Information Shapes Human Inference from Demonstrations
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Ibs, Inga
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A126
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A new proposed workflow for processing high spatial resolution MRI data with multiple sessions
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Gomes, Carlos Alexandre
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C126
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Teaching Functions with Gaussian Process Regression
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Malaviya, Maya
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B126
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Correlates of Syntax in EEG Responses to Naturalistic Speech
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Bialas, Ole
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C127
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Characterizing the contributions of reward and emotion information on learning through adolescence
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Phaneuf, Camille V.
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B127
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Time-yoked integration throughout human auditory cortex
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Norman-Haignere, Samuel
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A127
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Brain Decodes Deep Nets
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Yang, Huzheng
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C128
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Gains and Losses Modulate Novelty-Seeking During Explore-Exploit Decisions
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Rothenhoefer, Kathryn M.
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B128
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Deep neural networks reveal context-sensitive speech encoding in single neurons of human cortex
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Jain, Shailee
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A128
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Are ViTs as global as we think? - Assessing model locality for brain-model mapping
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Huang, Fangrui
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A129
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Inherent Receptive Fields in the Early Layer Enable Continual Learning Under Dynamic Environments
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Kang, Minjun
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B129
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Separate Neural Representations for Physical and Communicative Social Interactions: Evidence from Data-driven Voxel Decomposition
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Zhao, Yuanfang
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C129
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Recurrent circuit mechanisms for reward learning in multidimensional environments
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Wang, Michael Chong
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B130
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Neural Basis of Working Memory for Social Interactions
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Guo, Yang
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A130
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Modeling Localized Synaptic Degeneration and Neural Plasticity in Visual Cortex
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Shah, Yash
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C130
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Neural Correlates of Risk and Reward Signals in Smokers Using an MRI-Compatible Vaping Device: A Preliminary Study
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Lee, Eunhwi
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B131
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Ubiquitous visual representations during neural processing of a naturalistic movie
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Small, Hannah
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C131
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Neurocognitive mechanism of monetary and nicotine reward processing among smokers: A preliminary study
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Lee, Jeung-Hyun
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A131
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Temporal dynamics of face recognition: Insights from combining MEG and Artificial Neural Networks
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Abdelhedi, Hamza
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C132
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Excessive neural replay of aversive and uncertain options predicts human irrational decision-making
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Seow, Tricia
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A132
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Context-dependent efficient sensory coding underlying the tilt-illusion in human visual cortex and artificial neural networks
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Zhang, Ling-Qi
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B132
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Neural development of social perception: Evidence from voxel-wise encoding model study in young children and adults
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Im, Elizabeth Jiwon
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A133
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Current-Source Density in Higher Visual Areas Reflects Distinct Signaling Motifs for Oddball Processing
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Sennesh, Eli
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B133
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The Representational Organization of Static and Dynamic Visual Features in the Human Cortex
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Karimi, Hamed
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B134
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Tracking representational formats of intrusive memories using deep neural networks
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Heinen, Rebekka
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A134
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Layer-specific cortical mechanisms underlying visual perceptual learning
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Jozsa, Monika
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C134
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Testing predictions of a model for flexible goal-directed decision-making
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Froemer, Romy
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B135
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Differential Behavioral Manifestations in Emotional versus Neutral Scene Perception within Convolutional Neural Networks
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Li, Chun-Hui
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A135
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Why audio-visual learning improves voice identity recognition: a neurocomputational model
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Gumbsch, Christian
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C135
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Monetary incentives bias confidence judgements less in the absence of choice
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Salem-Garcia, Nahuel
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A136
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Configural processing as a fundamental mechanism for robust visual recognition in neural networks across varied viewing conditions
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Jang, Hojin
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B136
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Hippocampal versus cortical language processing: Similar selectivity profile, difference in tuning axis
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Lee, Elizabeth Jiachen
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C136
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Modeling Within-Trial Confidence Trajectories of Reasoning using Quantum Random Walk
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Malaiya, Ritesh
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C137
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Expectancy-related changes in the firing of dopamine neurons depend on the hippocampus
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Zhang, Zhewei
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A137
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Euclidean coordinates are the wrong prior for models of primate vision
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Cottrell, Garrison
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B137
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Single neurons in human hippocampus and amygdala track the depth-of-processing elicited by visual representations of images
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Shah, Aalap
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B138
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Hippocampal Encoding of Abstract Cognitive Maps Supports Navigation in a Real-World Social Network
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Teoh, Yi Yang
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A138
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Representational subspaces with different levels of abstraction in transformers
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Robinson, Brian
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A139
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The Effects of Learning on the Representational Geometry of Skilled Chess Players
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Costantino, Andrea Ivan
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B139
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More than meets the eye: Reconstructing lingering thoughts from visual long-term memories
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Zou, Futing
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C139
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Orthogonal representations of sensory evidence and possible actions in macaque dorsolateral prefrontal cortex
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Lee, Eric Kenji
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C140
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Neuronal activity in the orbitofrontal cortex of monkeys choosing between three options varying on three dimensions
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Barretto-García, Miguel
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B140
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Functional significance of shared brain state across various cognitive tasks
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Yamashita, Ayumu
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A140
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Toward hierarchical compositionality with shallow hierarchical networks
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López, Francisco Martín
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C141
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This decision matters: Sorting out the factors that lead to a single choice
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Diamond, Mathew
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B141
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Connectome Fingerprinting Predicts Prefrontal Cortical Activation During Abstract Reasoning
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Isenburg, Kylie
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A141
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High-dimensional alignment of neural networks and visual cortex
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Shen, Tailai
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B142
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Electrophysiological neural mechanisms for domain-general intelligence
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Lu, Runhao
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C142
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Working memory constructs joint probabilistic task representations for decision-making
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Chen, Xitong
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A142
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Multi-stage Cortical Recurrent Circuit Implementing Normalization
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Pal, Asit
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B143
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Machine learning predicts neural rhythms from brainwide hemodynamics across vigilance states
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Jacob, Leandro
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A143
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Cellular functional networks dynamically encode novelty in the mouse visual cortex
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Tang, Disheng
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C143
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Planning in the Hippocampus: Linking Actions and Outcomes to Guide Behavior
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Venditto, Sarah Jo C
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B144
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Arousal optimizes behavior by promoting latent state transitions
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Marble, Harrison
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A144
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Bridging multitask representational geometry and intrinsic connectivity in the human brain
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Chakravarthula, Lakshman
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C144
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Spatial regularity of rewards modulates reward skipping during naturalistic 3D foraging task
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Jeon, Jaeyoung
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C145
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Replay shapes abstract cognitive maps for efficient social navigation
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Son, Jae-Young
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A145
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A comparison of neural representation geometry induced by neuronal spiking and local field potentials in the human brain.
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Courellis, Hristos
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B145
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Latent state space of the nucleus accumbens BOLD activity indicates internal feedback mechanisms for learning temporal regularity
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Tang, Wei
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C146
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Learning expectations shape initial cognitive control allocation
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Masis, Javier
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A146
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An EEG-fMRI Investigation of the Spatiotemporal Hierarchy of Social Actions
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McMahon, Emalie
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B146
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PoissonVAE: combining Bayesian Inference with Predictive Coding results in Amortized Sparse Coding
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Vafaii, Hadi
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C147
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A computational account optimism and pessimism as means of self-control
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Rosenberg, Boaz
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B147
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Oscillatory traveling waves reveal predictive coding abnormalities in schizophrenia
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Alamia, Andrea
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A147
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Neural Processing of Naturalistic Audiovisual Events in Space and Time
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Hu, Yu
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A148
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Revealing the time-course of mid-level feature representations in scenes using rendered stimuli and ground-truth annotations
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Karapetian, Agnessa
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B148
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VARX model of the Brain: Functional connectivity dominates response to natural stimulus in human intracranial EEG
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Nentwich, Maximilian
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C148
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Social dynamics modulate conformity during patch foraging
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Kandpal, Chetan
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C149
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The internal-external dichotomy of social working memory: Evidences from distinct neural correlates and functional roles
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Pan, Hanxi
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B149
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Are different kinds of subjective fears represented differently in the human br
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Côté, Marjorie
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A149
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Representational geometries supporting social action understanding in naturalistic vision
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Han, Jane
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B150
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Evolving synthetic images for the control of affective experience
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Valevicius, Darius
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A150
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Cortical Semantic Encoding Varies with Attention and Habituation
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Christian, Isaac
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C150
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Modulating Hippocampal Activity and Connectivity with HRV biofeedback: Interplay between Emotion Regulation and Memory Control
|
Zhang, Huan
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C151
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The Prioritization of Social Content in Episodic Memory
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Ghouse, Ameer
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A151
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Representations of Semantic Relations in the Human Brain During Active Relation Processing
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Chen, Catherine
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B151
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Personality traits predict the valence but not semantic content of narrative interpretations
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Benson, Tory
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A152
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Mapping Multimodal Conceptual Representations within the Lexical-Semantic Brain System
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Meschke, Emily X.
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C152
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Origin and Control of Persistent Mental Content
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Kressin Palacios, Gabriel
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B152
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Towards a Latent Space Cartography of Individual Differences in Subjective Experience Using Large Language Models
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Manuel, Shawn
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B153
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Relational neural control: a method for investigating functional relationships across the brain
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Gifford, Alessandro T.
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C153
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Mapping Causal Brain Interactions in fMRI Decoded Neurofeedback
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Arab, Fahimeh
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A153
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CorText: large language models for cross-modal transformations from visually evoked brain responses to text captions.
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Bosch, Victoria
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A154
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Core Neural Dimensions of Functionally Selective Areas in the Human Visual Cortex
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van Dyck, Leonard E.
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C154
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The Computational Trade-offs of the Functional Organization of the Human Brain
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Hilman Amir, Dan
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B154
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Exploring Brain Responses to Memorability-Controlled Generated Images
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Han, Hyewon Willow
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C155
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Egocentric anchoring-and-adjustment of social knowledge in the hippocampus
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Rodriguez, Marta
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A155
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Dissecting visual population codes with brain-guided feature accentuation
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Prince, Jacob S.
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B155
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Do vision and imagery share common principal signal components?
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Saha Roy, Tiasha
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A156
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Modelling Brain Atrophy Dynamics Enhances Predicting Cognitive Decline in Alzheimer's Disease Continuum
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Jung, Wooseok
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B156
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Disentangling human amygdala activity with artificial neural networks
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Jang, Grace
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C156
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Self- versus other-generated interpretations of ambiguous social stimuli are asymmetrically remembered
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Sava-Segal, Clara
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B157
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An open dataset of functional MRI responses to egocentric navigation through natural scenes
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Chen, Emily M.
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C157
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Behavioral signatures of social signal detection
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Varrier, Rekha S.
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A157
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Mathematicians and visuo-spatial thinking
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Breman, Hester
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B158
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Coordinated Computations for Naturalistic Memory Encoding and Retrieval in Hippocampal subspaces
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Kwon, Dasom
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A158
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Perseverative Behavioral Sequences Aid Long-Term Credit Assignment
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Bruinsma, Sienna
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C158
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Cortical regions preferentially engaged during social and physical processing represent obstacles to agent action and object motion
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Kim, Minjae
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C159
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Investigating the neural computations underlying visual social inference with graph neural networks
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Malik, Manasi
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A159
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[GAC update] Use and Usability: concepts of representations in philosophy, neuroscience, cognitive science, and computer science
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Lange, Richard D.
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C160
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Multi-goal spatial navigation is mediated by predictive representations with episodic replay in the human brain
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Gahnstrom, Christoffer J.
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B160
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Pink noise in speakers' semantic synchrony dynamics predicts conversation quality
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O'Nell, Kathryn
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A160
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[GAC update] How does the brain compute with probability?
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Haefner, Ralf M
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C161
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Inverse reinforcement learning captures value representations in the reward circuit in a real-time driving task: a preliminary study
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Lee, Sang Ho
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B161
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Duality of Bures and Shape Distances with Implications for Comparing Neural Representations
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Harvey, Sarah
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C162
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Neurocomputational mechanisms of motivational influences on mental effort
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Yee, Debbie
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B162
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Modeling Multiplicity of Strategies in Free Recall with Neural Networks
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Li, Moufan
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B163
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Dynamic, social vision highlights gaps between deep learning and human behavior and neural responses
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Garcia, Kathy
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C163
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Intracranial recordings reveal neural encoding of attention-modulated reinforcement learning in humans
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Maher, Christina
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B164
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Shared connectome and organization in the human cortex irrespective of sensory experience
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Jiahui, Guo
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C164
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Learning and use of reward-related representations across cortex and time
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Tong, Ai Phuong
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C165
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Sleep Inspires Insight: a Preregistered Study
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Löwe, Anika
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B165
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Semantic action representations in the mind and brain
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Dima, Diana C
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B166
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One-shot auditory blind source separation using a novel neural network inspired by the auditory system
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Abbs, Patrick
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C166
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Control adaptation through Selective Suppression of Multidimensional Distractors
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Gheza, Davide
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C167
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Discrete boundaries between neural populations in recurrent neural networks
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Tanner, Jacob
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C168
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Retinotopy in CNN's implements Efficient Visual Search
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Jeremie, Jean-Nicolas
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