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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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B2
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Multiplexing midbrain neurons entrain movement dependent decision-making
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Shin, Wooyeon
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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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B4
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Estimating flexible across-area communication with neurally-constrained RNN
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Barbosa, Joao
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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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B6
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Evaluating theories of neural information integration during visual search
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Leite, Abe
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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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B8
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Revealing human planning strategies with eye tracking
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Callaway, Frederick
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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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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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B11
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Reward probability encoding in human neurons
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Price, Alexander
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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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B13
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Choice Stochasticity and Cognitive Imprecision Across Value Tasks
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Haeffner, Clara E.
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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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B15
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Neural dynamics of reversal learning in the prefrontal cortex
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Kim, Christopher
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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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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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B18
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Predicting human behavioral decisions with recurrent neural networks
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Cheng, Yu-Ang
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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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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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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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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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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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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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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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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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B28
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Anxiety is associated with reduced pupillary response to volatility
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Shang, Sophie
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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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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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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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B33
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Planning With Others in Mind
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Arfaei, Nastaran
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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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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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B36
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How does social learning affect stable false beliefs?
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Budiono, Rheza
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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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B38
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Brain Development of Selective Attention Enhances Credit Assignment
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Chen, Wei
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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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B40
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Adaptive learning using attractor switches in RNN
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He, Qin
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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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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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B43
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Modeling human learning in a combinatorial bandit task
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Deng, Guangyu
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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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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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B46
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Common Sense Reasoning about Source Credibility
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Hu, Peiyao
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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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B49
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Neural manifold packing by stochastic gradient descent
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Zhang, Guanming
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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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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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B52
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Algorithms for Neural Networks
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Morrison, John
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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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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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B56
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A Mathematical Theory of Context Controlled Semantic Development
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Jarvis, Devon
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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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B58
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Multitasking leads to Generalizable Disentangled Representations in RNNs
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Vafidis, Pantelis
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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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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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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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B62
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Do diffusion models generalize on abstract rules for reasoning?
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Wang, Binxu
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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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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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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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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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B68
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Inferotemporal Cortex Underlies Primate Generalization Capabilities and Brain-Aligned Models Generalize Better
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I Gusti Bagus, Marliawaty
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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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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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B71
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Recurrent Attentional Selection Can Explain Flexible Trading of Accuracy and Energy in Biological Vision
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Butkus, Eivinas
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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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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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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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B75
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A biologically plausible route to learn 3D perception
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Lee, Wanhee
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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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B77
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Delineating the set of faces perceived as natural in the Basel Face Model
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Bossio, Veronica
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B78
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Scaling Laws for Task-Optimized Models of the Primate Visual Ventral Stream
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Gokce, Abdulkadir
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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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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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B81
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Predicting brain activation does not license conclusions regarding DNN-brain alignment: The case of Brain-Score
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Malhotra, Gaurav
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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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B83
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Tracking in space and features with phase synchrony
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Muzellec, Sabine
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B84
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Walk a mile in my shoes! 3D visual perspective taking in humans and machines.
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Zhou, Peisen
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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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B86
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Spatial computing: utilizing cortical space to dynamically control the cognitive status of neural representations
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Brandyopadhyay, Abhirup
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B87
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Spatially- and non-spatially tuned hippocampal neurons exhibit distinct linear and non-linear representations
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Daigle, Maxime
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B89
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Emergence of complementary learning systems through meta-learning
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Zhou, Zhenglong
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B90
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Predictive Learning for Self-Supervised Mapping and Localization
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Chapman, William
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B91
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A Feedback Model of Flexible Context Guided Sensory Processing
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Iyer, Abhiram
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B92
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Replicating spectro-temporal dynamics in neurobiologically realistic neural networks via a self-supervised approach
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Nejat, Hamed
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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
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Vogelsang, Lukas
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B94
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The Effect of Attention on Contrast Response Functions in Convolutional Neural Networks
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Srivastava, Sudhanshu
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B95
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A computational principle trades-off inference and adaptation dynamics
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Wertheimer, Oded
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B96
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Distinct metacognitive and decisional process for fission and fusion illusion
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Xie, Rao
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B97
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Dopamine synergistic effects on lateral inhibition and neuronal excitability promote the formation of striatal ensembles
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Bosca, Vicente
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B98
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Emergent symmetry in a finite model of navigational neurons
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Weinstein, Vadim
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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
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Xie, Yi
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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
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Rotstein, Horacio
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B101
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The landscape of functional neuron embeddings depends on regularization
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Turishcheva, Polina
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B102
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Impact of dendritic non-linearities on the computational capabilities of neurons
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Lauditi, Clarissa
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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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B104
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Computational journey from numerical cognition to arithmetic ability
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Turcu, Denis
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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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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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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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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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B111
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Component encoding: Interpretable and predictive models of neural computation
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Skrill, David
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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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B113
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DivfreqBERT : Encoding Distinct Frequency Ranges of Brain Dynamics Based on the Complexity of the Brain
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Bae, Sangyoon
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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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B116
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Neural Computations Underlying Polar Angle Asymmetries
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Xue, Shutian
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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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B119
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Transformer-based model captures neural representation of audio-visual speech in natural scenes
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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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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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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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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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B124
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Sub-lexical processing of audiovisual speech constrains lexical competition.
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Nidiffer, Aaron
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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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B126
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Correlates of Syntax in EEG Responses to Naturalistic Speech
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Bialas, Ole
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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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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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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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B130
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Neural Basis of Working Memory for Social Interactions
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Guo, Yang
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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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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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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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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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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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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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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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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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B141
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Connectome Fingerprinting Predicts Prefrontal Cortical Activation During Abstract Reasoning
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Isenburg, Kylie
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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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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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B144
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Arousal optimizes behavior by promoting latent state transitions
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Marble, Harrison
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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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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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B147
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Oscillatory traveling waves reveal predictive coding abnormalities in schizophrenia
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Alamia, Andrea
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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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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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B150
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Evolving synthetic images for the control of affective experience
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Valevicius, Darius
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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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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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B154
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Exploring Brain Responses to Memorability-Controlled Generated Images
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Han, Hyewon Willow
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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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B156
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Disentangling human amygdala activity with artificial neural networks
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Jang, Grace
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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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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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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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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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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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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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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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