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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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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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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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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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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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A7
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Dynamic self-efficacy updating leads to optimistic overgeneralization
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Li, Jing
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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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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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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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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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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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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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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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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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A18
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Limitations in planning abilities in AlphaZero
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Lin, Daisy
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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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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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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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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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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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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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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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A27
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Inverse stochastic learning
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Tomov, Momchil
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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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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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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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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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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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A34
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The role of causal inference in audiovisual spatial recalibration
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lou, wenshu
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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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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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A37
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How does shared reality generalize?
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Mahaphanit, Wasita
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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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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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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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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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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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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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A45
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Map-like Representations of Lexical Features during Movie Watching
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Li, Siyang
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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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A47
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Brain network dynamics predict surprise dynamics
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Zhang, Ziwei
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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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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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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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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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A54
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How goals affect information seeking
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Karni, Gili
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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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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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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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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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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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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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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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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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A65
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Drift-diffusion dynamics of the hippocampal replay
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Wu, Zhongxuan
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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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A67
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Let’s disagree to agree: Model identifiability through disagreeability
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Cheung, Brian
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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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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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A70
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Predictivity and specificity for model-brain alignment methods
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Thobani, Imran
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A71
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Estimating shape distances on neural representations with limited samples
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Larsen, Brett W.
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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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A73
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Unfolding mental spaces onto a plane.
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Gosselin, Frédéric
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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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A75
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Pruning sparse features for cognitive modeling
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Truong, Nhut
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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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A77
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A taxonomy of multifunctionality in connectome-constrained neuromorphic computers
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Morra, Jacob
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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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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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A80
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Psychoacoustic phenomena explained by auditory task optimization
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Saddler, Mark
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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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A82
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Deep neural networks, trained on invariant recognition tasks, struggle to predict hierarchical invariance of speech representations in auditory cortex
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Liao, Guoyang
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A83
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Laminar Processing in Primary Auditory Cortex ‘Untangles’ Vocalization Representations During an Active Categorization Task
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Sadagopan, Srivatsun
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A84
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Spontaneous Emergence of Periodotopic Map through Neuronal Interference in Auditory Cortex
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Cheon, Jeonghwan
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A85
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Reconstructing sound from auditory spiking trains
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Liu, Po-Ting
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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
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Liu, Xueqing
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A87
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Attention as a Driving Force in Large Language Model Advancements
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Li, Xiaoyan
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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
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Xie, Hanbo
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A89
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Framework for a Generative Multi-modal model of Embodied Thought
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Zelinsky, Gregory
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A90
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Word-Order Error Detection Helps Data-Efficient Language Models Learn Syntax
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Fung, Alexander
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A91
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Extracting Object Feature Norms from Large Language Models
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Mazurchuk, Stephen
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A92
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Discovering the perceptual space of natural sounds from similarity judgments
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Hicks, Jarrod M
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A93
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Towards Semantic Classification of Dialog using Contextual Prediction Networks
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Doboli, Alex
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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
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Ayesh, Eyas
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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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A96
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Bidirectional Predictive Coding
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Oliviers, Gaspard
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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
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Ianov Vitanov, Rebeca
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A98
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Does Replay Suffice for Online Continual Learning in Spiking Networks?
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Patel, Raghav
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A100
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Benchmarking Deep Learning Architectures for Predicting Visual Stimuli Given Single Neuron Spike Patterns
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Carpenter, Raymond
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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
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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
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Oyarzo, Pablo
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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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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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A105
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Configural-Shape Representation in Deep Neural Networks
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Doshi, Fenil R.
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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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A108
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Equivariant Self-Supervised Learning Improves IT Predictivity
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Yerxa, Thomas
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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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A110
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Brain-Inspired Embedding Model: Scaling and Perceptual Fine-tuning
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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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A112
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Probing semantic and visual representations in material perception through psychophysics and unsupervised learning
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Liao, Chenxi
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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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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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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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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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A117
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Ecological Data and Objectives for Human Alignment
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Nagaraj, Akash
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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
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Kneeland, Reese
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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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A122
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Designing salient, naturalistic “super-stimuli” with deep generative models
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Mukherjee, Shankhadeep
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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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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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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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A127
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Brain Decodes Deep Nets
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Yang, Huzheng
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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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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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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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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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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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A134
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Layer-specific cortical mechanisms underlying visual perceptual learning
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Jozsa, Monika
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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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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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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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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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A140
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Toward hierarchical compositionality with shallow hierarchical networks
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López, Francisco Martín
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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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A142
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Multi-stage Cortical Recurrent Circuit Implementing Normalization
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Pal, Asit
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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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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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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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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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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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A149
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Representational geometries supporting social action understanding in naturalistic vision
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Han, Jane
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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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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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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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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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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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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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A157
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Mathematicians and visuo-spatial thinking
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Breman, Hester
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View PDF
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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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View PDF
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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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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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