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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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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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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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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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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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C5
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Fast and robust visual recognition young children
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Ayzenberg, Vladislav
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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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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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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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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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C10
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Assessing equivariance in visual neural representations
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Jagadeesh, Akshay
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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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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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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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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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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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C17
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EEG-Features for Generalized Deepfake Detection
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Beckmann, Arian
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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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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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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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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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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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C26
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Capacity of the Neuroidal Model for Shared Memory Representations
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Perrine, Patrick
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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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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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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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C31
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The Learning Hypothesis on Spatial Receptive Field Remapping
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Kuo, Henry
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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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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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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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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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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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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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C39
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Noise Correlations for Feature Learning
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Dai, Xufeng Caesar
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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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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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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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C43
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Differentiable optimization of similarity scores between models and brains
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Cloos, Nathan
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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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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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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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C48
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Representational Overlap Triggers Reorganization of Memories
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Babu, Anisha
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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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C69
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Perceived AI Consciousness: A Quantitative Exploration of Human Responses
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Kang, Bongsu
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C70
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Functional Connectivity Classification in ECoG during Speech Perception and Production
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Esmaeili, Yasamin
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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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C72
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Localization differences between face symmetry and abstract symmetry perception within the high-level visual cortices
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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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C74
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Evoked responses and transient beta events reveal the frontal microcircuit dynamics of inhibitory control during response inhibition
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Diesburg, Darcy
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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
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Kölbl, Nikola
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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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C79
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Improving Neural Decoding by Integrating Information Over Time
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Li, Zhuoyang (Gio)
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C80
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Reinforcement Learning Over Complex Naturalistic Scenes
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Ehrlich, Daniel B.
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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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C82
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Greater sensitivity of hippocampus and striatum to visual statistical learning in adults compared to children
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Lanka, Pradyumna
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C83
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Improving metacognitive ability with practice
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Boundy-Singer, Zoe
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C84
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Learning of predictable rules mixed with random reinforcement in humans
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Jin, Leo
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C85
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Why some simple probabilistic rules are difficult to learn: A hypothesis diffusion model
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Chen, Jianbo
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C86
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Pattern separation using compressed and semantic representations of memory
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Zhou, Dale
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C87
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Expectation generation and its effect on subsequent perception in pain and vision
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Botvinik-Nezer, Rotem
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C88
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Prior-variance-dependent alterations in perceptual inference relate to hallucination severity in schizophrenia
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Mihali, Andra
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C89
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Efficient Neural Compression of Sensory Information during Human Category-Based Decisions
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Drevet, Julie
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C90
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Adapting to time: why nature chose to evolve a diverse set of neurons
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Habashy, Karim
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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
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Anthes, Daniel
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C93
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Paradoxical replay maintains unbiased and robust representations of task structure
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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
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Elpelt, Jonas
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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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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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C98
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Internal Neural Noise Progression for Emergent Classification Robustness
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Arslan, Suayb
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C99
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Local lateral connectivity is sufficient for replicating cortex-like topographical organization in deep neural networks
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Qian, Xinyu
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C100
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A local unsupervised learning algorithm for building a visual hierarchy
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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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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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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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C105
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Sparse predictive-coding networks account for Bayesian and ‘anti-Bayesian’ effects in human orientation perception
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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
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Griffith, Ian
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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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C109
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Probing behavioral compositionality in a reconfigurable 3D environment
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Ma, Tzuhsuan
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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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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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C112
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Temporal Abstraction in Animal Exploration in a Complex Environment
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Singla, Umesh
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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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C114
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Neural Prioritisation of Past Solutions Supports Generalisation
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Hall-McMaster, Sam
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C115
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Embodied memory through gaze control
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Zhang, Ruiyi
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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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C117
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Learning abstract features with deep RL agents in an evidence accumulation task
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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
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Hocker, David
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C119
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Network computational mechanism underlying uncertainty-driven arbitration between model-based and model-free reinforcement learning
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Wang, Siyu
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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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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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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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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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C125
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Exploring How Information Shapes Human Inference from Demonstrations
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Ibs, Inga
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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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C146
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Learning expectations shape initial cognitive control allocation
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Masis, Javier
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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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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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C150
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Modulating Hippocampal Activity and Connectivity with HRV biofeedback: Interplay between Emotion Regulation and Memory Control
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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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C152
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Origin and Control of Persistent Mental Content
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Kressin Palacios, Gabriel
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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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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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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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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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C157
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Behavioral signatures of social signal detection
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Varrier, Rekha S.
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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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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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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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C162
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Neurocomputational mechanisms of motivational influences on mental effort
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Yee, Debbie
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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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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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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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