All Posters

Posters 1-22 are in Shorin Room, posters 23-103 are in Rosenthal Room.

Poster	Title	Presenter	Topic Area
C9	A baby-step toward belief updating constructs: generalizability across two task variants	Magdalena Del Rio	Development, Individual Differences & Clinical Populations
A94	A Benchmark for Physical Object Relationship Perception in Humans and Machines	Georgina Woo	Computational Models of Vision & Visual Cortex
C34	A Compositional Model of Semantic Fluency	Surabhi S Nath	Memory, Learning & Knowledge Structures
C5	A data-driven approach for identifying multi-domain connectivity signatures	Alexa Mousley	Development, Individual Differences & Clinical Populations
E91	A deeper look into occlusion types and their impacts on object recognition models	Courtney M King	Computational Models of Vision & Visual Cortex
E45	A developmentally retained top-heavy bias for face perception in the adult pulvinar	Xinyi Tang	Development, Individual Differences & Clinical Populations
C46	A Distributed Cortical Network Integrates Semantic Representations of Number, Space, and Time	Evi Hendrikx	Memory, Learning & Knowledge Structures
F9	A Fundamental Tradeoff between Computational Flexibility and Spiking Variability in Recurrent Neural Networks	Zachary Loschinskey	Methods, Tools, Theory & Neural Coding
F20	A Geometric Foundation for Semantic Relations in the Brain	Hanlin Zhu	Methods, Tools, Theory & Neural Coding
A63	A Low-Rank GPT-2 XL Subspace Captures Linear Alignment with Intracranial Responses during Language Listening	Zachary Paris	Auditory, Speech & Language Processing
A57	A mathematical theory of hippocampal repulsion	Samuel Lippl	Memory, Learning & Knowledge Structures
B52	A Minimal Model of Bounded Trade-Off Screening in Multi-Attribute Choice	Anirban Sarkar	Decision-Making, Cognitive Control & Event Cognition
F10	A model-based alternative to cluster-based permutation tests for the analysis of time-resolved data	Ladislas Nalborczyk	Methods, Tools, Theory & Neural Coding
F19	A Modular Framework for Embedding Brain-like Topology in Recurrent Neural Networks	Maroš Rovný	Methods, Tools, Theory & Neural Coding
C39	A multidimensional framework for episodic memory reveals age-related changes in underlying cognitive processes	Soroush Mirjalili	Memory, Learning & Knowledge Structures
F66	A neural network with key-value episodic memory retrieves and organizes memories based on causal event structure	Hayoung Song	Memory, Learning & Knowledge Structures
A36	A new code for position: flat neural maps in mouse medial frontal cortex	Rajyashree Sen	Methods, Tools, Theory & Neural Coding
D1	A Nonlocal Variational Framework for Optimal Neural Representations	Gengshuo John Tian	Methods, Tools, Theory & Neural Coding
F68	A Novel Paradigm for Examining Social Influences on Neural Representations Guiding Memory	Kahini Mehta	Memory, Learning & Knowledge Structures
A68	A Parametric Continuum for Probing Visual Speech Representations	Emma Zhang	Auditory, Speech & Language Processing
E15	A parametric guidance law model of hunting in mice	Daniel Pollak	Methods, Tools, Theory & Neural Coding
D63	A probabilistic model for context-dependent interval discrimination in mouse	Farzaneh Najafi	Decision-Making, Cognitive Control & Event Cognition
B13	A Probe-Based Detector Using Saliency Divergence, Gradients, and Layer Sensitivity	Yalda Mohsenzadeh	Methods, Tools, Theory & Neural Coding
E14	A Reproducibility Framework for Subject-Level Alzheimer’s Decoding	Adel Sahuc	Methods, Tools, Theory & Neural Coding
B29	A resource of encoding models for in silico neuroscience	Alessandro Thomas Gifford	Methods, Tools, Theory & Neural Coding
C45	A resource-rational model of self-paced learning	SI MA	Memory, Learning & Knowledge Structures
C68	A Simple Biologically Plausible Neural Model is Capable of Basic Natural Language Aqcuisition	Daniel Mitropolsky	Auditory, Speech & Language Processing
B1	A structured population code for a symbolic action grammar	Lucas Y. Tian	Methods, Tools, Theory & Neural Coding
B31	A systematic analysis of representations in artificial neural networks across hyperparameters	Kirsten Devolder	Methods, Tools, Theory & Neural Coding
A78	A tale of two tails: Preferred and anti-preferred natural stimuli in visual cortex	Rabia Gondur	Computational Models of Vision & Visual Cortex
F33	A thalamocortical RNN architecture for flexible and robust motor sequencing	Abhijnana Das	Methods, Tools, Theory & Neural Coding
D94	A Unified Speech-to-Text-to-Speech Encoding Model for Natural Conversations	Haocheng Wang	Auditory, Speech & Language Processing
D37	Accurate and Interpretable Prediction of Antidepressant Treatment Response from Receptor-informed Neuroimaging	Hanna M. Tolle	Development, Individual Differences & Clinical Populations
F45	Adaptive distortions of confidence reflect environmental statistics and internal constraints	Shiyi Cao	Decision-Making, Cognitive Control & Event Cognition
B11	Adaptive estimation of individual sensory representations	Josue Casco-Rodriguez	Methods, Tools, Theory & Neural Coding
A58	Adaptive Online Learning of Structured Abstractions in Visual Problem-Solving	Ivan Zareski	Memory, Learning & Knowledge Structures
F27	Adversarial construction for efficient experiment design in large task-spaces	Prakhar Godara	Methods, Tools, Theory & Neural Coding
F91	Affective Factors Predict Selective Attention in Vision-Language Models	Michael Zhu	Computational Models of Vision & Visual Cortex
A42	Age-related differences in structure learning drive foraging behavior in a multimodal patch-leaving task	X Roger Chen	Development, Individual Differences & Clinical Populations
B32	Agentic AI Can Generalize to Multiple Speeded Tasks with Human-Like Behavior	Logan J Bennett	Methods, Tools, Theory & Neural Coding
A60	AI-Assisted writing may create an illusion of learning by dissociating performance from durable memory	Abigail M. Daems	Memory, Learning & Knowledge Structures
D28	Aligning DNN Representational Spaces with Shepard’s Law	Navya Sahay	Methods, Tools, Theory & Neural Coding
F73	Aligning the Brain with Language Models Through a Nonlinear and Multimodal Approach	Danny Dongyeop Han	Auditory, Speech & Language Processing
D38	An adaptive role for anhedonia following early-life unpredictability	Yifan Zhang	Development, Individual Differences & Clinical Populations
B65	An affordance perspective of dynamic pursuit and emergent change of mind in artificial agents	Jungsuk James Lee	Decision-Making, Cognitive Control & Event Cognition
F72	An Algorithmic Account of Few-Shot Concept Induction in Language Models	Zhuonan Yang	Auditory, Speech & Language Processing
F8	An Analysis of Neuroidal Memory Formation within D. melanogaster	Patrick Riley Perrine	Methods, Tools, Theory & Neural Coding
D82	An Analytically Tractable Model of Optimal Schema Learning and Few-Shot Generalization	Valentina Njaradi	Memory, Learning & Knowledge Structures
D80	An Episodic Memory Model Can Account for Reinforcement Learning in Humans	Javier Alejandro Masís Obando	Memory, Learning & Knowledge Structures
D57	An Optimal Compression Principle for Event Segmentation and Encoding	Isaac Ashkenazi	Decision-Making, Cognitive Control & Event Cognition
B50	Analogical Reasoning Abilities of MLLMs, Children and Adults on Bongard Problems	Marit Metz	Development, Individual Differences & Clinical Populations
A8	Anatomy-Aware Masked Image Modeling for Self-Supervised Learning on 3D Brain MRI	Yeonwoo Kim	Methods, Tools, Theory & Neural Coding
A77	ANNs that perform well on a Gestalt benchmark from Brain-Score do not support human-like Gestalt processing	Jeffrey Bowers	Computational Models of Vision & Visual Cortex
D26	Artifacts as Memory Beyond the Agent Boundary	Fraser Mince	Methods, Tools, Theory & Neural Coding
C29	Assessing Value Normalization and Habit Explanations in the Reward Pairs Task: a Simulation Study	Viktor Timokhov	Decision-Making, Cognitive Control & Event Cognition
A23	Astrocyte-Inspired Modulation for Robust Explanations in Vision Transformers	Nicolas Echevarrieta-Catalan	Methods, Tools, Theory & Neural Coding
B62	Asymmetric Interruption Costs Reflect Transition Structure Shaped by Task-Neutral Attractors	Takuro Zama	Decision-Making, Cognitive Control & Event Cognition
B93	Attention Gain as a Learning Mechanism in a Visual Search Meta-Task	Christos Karaneen	Computational Models of Vision & Visual Cortex
C6	Attentional Alignment in Abstract Reasoning across Developing Minds and Machines	Eva R. Wardenaar	Development, Individual Differences & Clinical Populations
E57	Attentional Strategies in Social Coordination	Bonnie Yang	Decision-Making, Cognitive Control & Event Cognition
B14	Attractor dynamics in primate retrosplenial cortex support goal-proximal spatial information processing	Seunghan Lee	Methods, Tools, Theory & Neural Coding
A10	Automated Adversarial Collaboration for Advancing Theory Building in the Cognitive Sciences	Suyog Chandramouli	Methods, Tools, Theory & Neural Coding
F58	Automated Discovery of Cognitive Collaboration Dynamics	Huang Ham	Memory, Learning & Knowledge Structures
D12	Automated Individual Subject Functional Parcellation of the Reading Circuitry in the Ventral Occipitotemporal Cortex	Garikoitz Lerma-Usabiaga	Methods, Tools, Theory & Neural Coding
F17	Automated recall-to-story matching for memory research	Dhruva Arekar	Methods, Tools, Theory & Neural Coding
E49	Balancing forward and backward reasoning, by studying the Gadget Game	Katherine M. Collins	Decision-Making, Cognitive Control & Event Cognition
F26	Balancing the brain: Criticality supports flexibility while task engagement drives deviation from criticality	Li Xin Lim	Methods, Tools, Theory & Neural Coding
E26	Bayesian calibration for conference reviews	Harrison Ritz	Methods, Tools, Theory & Neural Coding
B10	Bayesian linear encoding to evaluate models on neuroimaging data	Juan Jesús Torre Tresols	Methods, Tools, Theory & Neural Coding
F11	BCI-induced Dynamic Shifts of Valence Representations in the Primate Amygdala	Shaked Emily Leibovitz	Methods, Tools, Theory & Neural Coding
E5	Behavior and Autonomic Physiology Characterize Brain State Dynamics During Naturalistic Gameplay	Yibei Chen	Methods, Tools, Theory & Neural Coding
B60	Behavioral and neural correlates of conflict prediction	Hans Kirschner	Decision-Making, Cognitive Control & Event Cognition
F36	Behavioral Automaticity Triggered by Stimulus-Driven Reactivation of Functional Connections	Ruben Sanchez-Romero	Methods, Tools, Theory & Neural Coding
E28	Belief Filtering: Meta-inference of Internal Models	Aniruddh R Galgali	Methods, Tools, Theory & Neural Coding
C17	Belief Updating as Emotional Value-Based Decision-Making	Kanji Shimomura	Decision-Making, Cognitive Control & Event Cognition
A32	Better than reality: implied auditory information across visual and multimodal regions revealed by generative AI	Ryuto Yashiro	Methods, Tools, Theory & Neural Coding
D48	Beyond Averages: Identifying Latent Behavioral Strategies in Approach–Avoidance Conflict Using Probabilistic Clustering	Franziska Usée	Decision-Making, Cognitive Control & Event Cognition
C21	Beyond search: reframing problem solving through cached solutions	Shuze Liu	Decision-Making, Cognitive Control & Event Cognition
D58	Beyond Sensory Summation: How Expectations and Sensory Evidence Shape Multisensory Perception	Elizaveta Sycheva	Decision-Making, Cognitive Control & Event Cognition
C85	Beyond snapshot vision: decoding dynamic videos from temporally evolving neural activity	Iris Groen	Computational Models of Vision & Visual Cortex
A5	Biasing optimization to find more informative model metamers	William F. Broderick	Methods, Tools, Theory & Neural Coding
F28	Biologically Constrained Heterogeneity: Hybrid Spiking-Nonspiking Connectome-Constrained Models	Nalini Ramanathan	Methods, Tools, Theory & Neural Coding
C13	Biophysical modeling of inter-brain synchrony during social and non-social interaction	Xiaojun Zhou	Development, Individual Differences & Clinical Populations
F47	Blame via Inverse Reinforcement Learning	Eivinas Butkus	Decision-Making, Cognitive Control & Event Cognition
A9	Bottom-up Modeling of Striatum and its Brain Circuit Interactions	Romina Ahmadi	Methods, Tools, Theory & Neural Coding
B9	Brain Foundation Model Representations of Naturalistic Emotional Dynamics	Elena Skoullou	Methods, Tools, Theory & Neural Coding
E8	Brain-Tuning Language Models on Task fMRI	Yujin Yun	Methods, Tools, Theory & Neural Coding
E39	Building a model of infant development using experience, brain, and behavior	Cliona O'Doherty	Development, Individual Differences & Clinical Populations
B18	B³ net: Brain-Body-Behavior model of attention fluctuations in humans	Zinong Yang	Methods, Tools, Theory & Neural Coding
E34	Can Human Perceptual Similarity Alignment Improve Interpretability in Visual Representations?	Julien Colin	Methods, Tools, Theory & Neural Coding
D93	Causal Multiscale Models of Temporally Resolved Auditory Processing in Human Cortex	Tonio Weidler	Auditory, Speech & Language Processing
B97	CCN Over the Years: A Submission Visualizer	Kahini Mehta
B57	Changes in local field potential in non-human primate prefrontal cortex during a transitive inference task	Fabian Munoz Silva	Decision-Making, Cognitive Control & Event Cognition
C11	Changes in visual objectives explain differences in cue weighting across development: Simulations with neural network models	Olivia Maltz	Development, Individual Differences & Clinical Populations
B82	Characterizing and modeling time-varying object percepts evoked by naturalistic video	Lynn K. A. Sörensen	Computational Models of Vision & Visual Cortex
B55	Characterizing Decision Strategies from Think-Aloud in Risky Choice	Cierra Ferguson	Decision-Making, Cognitive Control & Event Cognition
A40	Characterizing Temporal Dynamics of Sleep as a Function of Heart Rate Variability: A Digital Mental Health Approach	Tvisha Shah	Development, Individual Differences & Clinical Populations
D53	Characterizing time-varying effects of evidence volatility on perceptual confidence	Yuzheng Wu	Decision-Making, Cognitive Control & Event Cognition
D51	Cinematic Cuts Reshape Neural Event Boundaries: Individual-Level Evidence From Naturalistic Movie Viewing	Alex Ye	Decision-Making, Cognitive Control & Event Cognition
A89	Circuit motifs underlying representational untangling	Jeffery W. Andrade	Computational Models of Vision & Visual Cortex
F69	Classification of Strategies in Reversal Learning Tasks Using a Mixture Model	Daniel Janko	Memory, Learning & Knowledge Structures
E58	Cocaine exposure alters the structure of task engagement and choice behavior in an odor-guided choice task	Brett A Hathaway	Decision-Making, Cognitive Control & Event Cognition
D64	Coffee or Date? A Bayesian account of Indirect Disclosure in High-Stakes Social Interactions	Victor Btesh	Decision-Making, Cognitive Control & Event Cognition
B12	CogMaze: A Benchmark of Egocentric Spatial Understanding in Humans and Vision-Language Models	Harvey Donnelly	Methods, Tools, Theory & Neural Coding
C38	Cognitive and Neural Origins of Persistent Experiences	Gabriel Arthur Daniel Kressin Palacios	Memory, Learning & Knowledge Structures
E21	Collision Avoidance and Food Distributions Shape Collective Fish Behavior	Nathan Wu	Methods, Tools, Theory & Neural Coding
E32	Common Representation Similarity Metrics Have Dimension-Free Error Bounds	Shujun Xiong	Methods, Tools, Theory & Neural Coding
D90	Comparing Human and Machine Communication Patterns Through a Tangram Game	Haoran Zhao	Auditory, Speech & Language Processing
C73	Comparing the speech processing hierarchy in early blind and sighted individuals	Allison Chen	Auditory, Speech & Language Processing
C42	Complementary learning dynamics within neocortex and hippocampus	Zoya Khan	Memory, Learning & Knowledge Structures
E69	Complementary model-free and model-based motor learning systems unify experimental results across scales and species	Laureline Logiaco	Memory, Learning & Knowledge Structures
C2	Computational Mechanisms of Decision Uncertainty During Decision-Making in Worry	Mahalia Prater Fahey	Development, Individual Differences & Clinical Populations
D55	Computational Modeling of Stop Processes Captures Violations in Response Inhibition	Eunseo Oh	Decision-Making, Cognitive Control & Event Cognition
F6	Computational Natural Language Analysis Reveals Psilocybin-Induced Changes in Meaning-Making	Caitlin Rooney	Methods, Tools, Theory & Neural Coding
C77	Concept Manifold Geometry Explains Asymmetry in Model–Brain Bidirectional Predictivity	Hyewon Willow Han	Computational Models of Vision & Visual Cortex
B28	Connectivity Hyperalignment Reveals Shared Fine-Scale Functional Organization in the Human Subcortex	Jiaxin Cindy Tu	Methods, Tools, Theory & Neural Coding
B38	Connectome-Constrained Spiking Networks Reproduce Emergent Computations in Larval Olfactory Pathway	Jordan Watts	Methods, Tools, Theory & Neural Coding
F4	Conserved Kinematic Representations enable Zero-Shot Decoding in Handwriting BCIs	Virginia R. de Sa	Methods, Tools, Theory & Neural Coding
A49	Context-Dependent Relational Warping Underlies Triangle Inequality Violations in a Large Language Model	Sunsikham	Memory, Learning & Knowledge Structures
F29	Continual learning and forgetting as drivers of representational drift	Chattarin Poungtubtim	Methods, Tools, Theory & Neural Coding
B26	Continuous Attractor Neural Networks Toolkit: Standardizing Computational Neuroscience Research on Attractor Dynamics	Sichao He	Methods, Tools, Theory & Neural Coding
D8	Continuous Temporal Difference Learning as a Unifying Theory of Dopamine Function Across Timescales	Sankalp Garud	Methods, Tools, Theory & Neural Coding
A87	Contrastive Self-Supervised Learning in Higher Visual Cortex	Daniel D. Kato	Computational Models of Vision & Visual Cortex
C92	Contributions of Visual Pathway Segregation to Learning Multiple Behaviors with Divergent Visual Demands	Aida Mirebrahimi	Computational Models of Vision & Visual Cortex
E19	Cortical gradient of signal-noise subspace alignment	Tomoya Nakamura	Methods, Tools, Theory & Neural Coding
B80	Cortical timescale representations are longer in second than in first language	Mathis Lamarre	Auditory, Speech & Language Processing
E1	Data Diversity Drives the Emergence of Symbolic Mechanisms in LLMs	Melody Zixuan Li	Methods, Tools, Theory & Neural Coding
E23	Data symmetries can confound representational similarity analyses	Farhad Pashakhanloo	Methods, Tools, Theory & Neural Coding
C3	Deafness and Sign Language Experience Uniquely Shift Visual Category Representations	Edan Daniel-Hertz	Development, Individual Differences & Clinical Populations
A95	Decoding implied motion magnitude using fMRI activity	Koustav Banerjee	Computational Models of Vision & Visual Cortex
E35	Decoding Second-Language Proficiency from Shared Network Representations Using PCA and ICA	Onila R. N. M. Don	Methods, Tools, Theory & Neural Coding
C33	Decomposing iconic memory decay with a joint-feature model of structured errors	Gal Vishne	Memory, Learning & Knowledge Structures
E46	Deep Graph Learning Reveals Individualized Somato-Cognitive Integration Zones in the Adolescent Brain: Evidence from the SCAN Network	Yu Zhang	Development, Individual Differences & Clinical Populations
A62	Deep Learning Models of Attention Reveal Peripheral Encoding as a Bottleneck for Selective Listening Through Cochlear Implants	Annesya Banerjee	Auditory, Speech & Language Processing
A88	Deep Neural Network Models Capture Ventral Stream Predictivity at Cross-Animal Consistency	Josh Wilson	Computational Models of Vision & Visual Cortex
D21	Dendritic structure enables powerful plasticity	Federico Benitez	Methods, Tools, Theory & Neural Coding
D84	Determinants of context-dependent memory effects in humans	Susanne Haridi	Memory, Learning & Knowledge Structures
D60	Determinants of relative value coding in artificial and biological networks	Kenway Louie	Decision-Making, Cognitive Control & Event Cognition
E43	Different cognitive phenotypes in multi-level learning	Silke Boulanger	Development, Individual Differences & Clinical Populations
F81	Different Features Shape Category Selectivity in Human Visual Cortex and Deep Neural Networks	Leonard E van Dyck	Computational Models of Vision & Visual Cortex
E96	Diffusion-Based Stimulus Optimization Reveals Fine-Grained Feature Selectivity in Human Early Visual Cortex	Junru Zhao	Computational Models of Vision & Visual Cortex
C36	Dimensional Doubt is Selectively Associated with Metacognition for Non-Occurrences	Matan Mazor	Memory, Learning & Knowledge Structures
A30	Directed connectivity mapping through a self-attention mechanism in the human brain foundation model	Myeonggyo Jeong	Methods, Tools, Theory & Neural Coding
A97	Directional Confusions Reveal Inductive Bias Through Rate–Distortion Geometry in Human and Machine Vision	Leyla Roksan Caglar	Computational Models of Vision & Visual Cortex
C53	Discovering analogous structure supports generalization in human reinforcement learning	Alana Jaskir	Memory, Learning & Knowledge Structures
F37	Discovering efficient maps for navigating a reconfigurable 3D environment	Tzuhsuan Ma	Methods, Tools, Theory & Neural Coding
F14	Discovering Functionally Selective Brain Regions with a Deep Topographic Multimodal Model	Badr AlKhamissi	Methods, Tools, Theory & Neural Coding
F15	Discovering interpretable visual representations at scale	Habon Issa	Methods, Tools, Theory & Neural Coding
E61	Discovering Online and Offline Processing via Meta-Learning	Zhenglong Zhou	Memory, Learning & Knowledge Structures
A38	Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents	Satpreet H. Singh	Methods, Tools, Theory & Neural Coding
E55	Dissecting Thalamic Uncertainty Management with Transcranial Ultrasound Stimulation	Julian Q. Kosciessa	Decision-Making, Cognitive Control & Event Cognition
E37	Dissociable temporal sequence-processing deficits from interneuron-specific perturbations in a cortical microcircuit model	Rebeca Ianov-Vitanov	Methods, Tools, Theory & Neural Coding
C95	Dissociating different sources of uncertainty in mice	Ishan Kalburge	Computational Models of Vision & Visual Cortex
F79	Dissociating spatial frequency reliance from adversarial robustness advantages in neurally guided deep convolutional neural networks	Zhenan Shao	Computational Models of Vision & Visual Cortex
D32	Distinct Computational Pathways to Persistent Fear Across Development	Camilla van Geen	Development, Individual Differences & Clinical Populations
D66	Distributed and Flexible Goal Representations in Human Cortex for Adaptive Behaviour	Pinar Göktepe-Kavis	Decision-Making, Cognitive Control & Event Cognition
B90	Distribution shift predicts the dynamics of 3D perception	Václav Knapp	Computational Models of Vision & Visual Cortex
F78	Divergent effects of hierarchical perceptual features on confidence in humans and deep neural networks	Yunpeng Liu	Computational Models of Vision & Visual Cortex
B78	Divergent scaling patterns in the auditory cortex vs. other brain regions reveal distinct sources of LLM-brain alignment	Taha Osama A Binhuraib	Auditory, Speech & Language Processing
C47	Divergent working memory dynamics in biological and recurrent neural networks	Daria Kussovska	Memory, Learning & Knowledge Structures
A98	Divisive normalization masquerades as predictive processing in visual cortex	Ningkai Wang	Computational Models of Vision & Visual Cortex
A90	Do Better Visual Question Answering Models Attend More Like Humans?	Aiqing Li	Computational Models of Vision & Visual Cortex
C51	Do People Back-Project Rules?	Henrike Flimm	Memory, Learning & Knowledge Structures
B73	Do Social Micro-processes Emerge in Multimodal Language Models? A Case Study of Egocentric Referential Communication	Dota Tianai Dong	Auditory, Speech & Language Processing
C23	Do you know what you can do? Measuring self-efficacy in sequential decision making	Jing Li	Decision-Making, Cognitive Control & Event Cognition
B45	Do you see what I see? Mobile eye-tracking in natural environments reveals selective social-visual engagement and developing visual field biases in children and teens	Elizabeth Jiwon Im	Development, Individual Differences & Clinical Populations
C25	Domian-Specific Stimulus Coding and Domain-General Confidence Signals Across Cognitive Tasks	Xun Chen	Decision-Making, Cognitive Control & Event Cognition
A83	Downsampled Representations Improve Cross-Model Transfer in hV4 Encoding-Model Metamers	Hayato Ono	Computational Models of Vision & Visual Cortex
A19	Driving in the scanner: a versatile platform for studying naturalistic human spatial navigation	Tianjiao Zhang	Methods, Tools, Theory & Neural Coding
E85	During natural vision, semantic novelty modulates fixation-related processing in primate cortex	Vinay S Raghavan	Computational Models of Vision & Visual Cortex
C16	Dynamic belief state representations in human orbitofrontal cortex under uncertainty	Theo AJ Schäfer	Decision-Making, Cognitive Control & Event Cognition
B42	Dynamic noise correlations between feature-selective brain regions support efficient learning	Joonhwa Kim	Methods, Tools, Theory & Neural Coding
A27	Dynamical systems analysis of a large-scale cortical language model enables mechanistic interpretation	Agata Feledyn	Methods, Tools, Theory & Neural Coding
E63	Dynamics and generalization in kernel models of category learning	Matteo Alleman	Memory, Learning & Knowledge Structures
D13	Dynamics of object coding in the inferotemporal cortex	Conor McGrory	Methods, Tools, Theory & Neural Coding
B49	Early-life environments shape reinforcement learning computations across development	Nora C. Harhen	Development, Individual Differences & Clinical Populations
E79	Eccentricity-Constrained CNN Training Reveals Adaptive Information Coding Around the Visual Field	Dylan Matthew Diaz	Computational Models of Vision & Visual Cortex
C66	Effective dimensionality tracks the time-varying accessibility of input features during speech comprehension	Emily Cheng	Auditory, Speech & Language Processing
B86	Efficiency and noise processing in early visual system	Harini Sudha J G	Computational Models of Vision & Visual Cortex
B5	Efficient Multi Subject Visual Reconstruction from fMRI Using Aligned Representations	Christos Zangos	Methods, Tools, Theory & Neural Coding
B87	Emergent Demand-Driven Precision in Neural Networks Optimized for Multiple Object Tracking	Sun Minni	Computational Models of Vision & Visual Cortex
E84	Emergent Eye Movements for Scene Understanding in a Model of Ventral and Dorsal Visual Processing	Alexander Kroner	Computational Models of Vision & Visual Cortex
E83	Emergent mid-level visual representations from a developmentally inspired contrast sensitivity curriculum	Chelsea B. Kim	Computational Models of Vision & Visual Cortex
C49	Emergent Superstitious Learning Behaviors and Computations in Neuromodulated Plastic Neural Networks	Yuhao Jin	Memory, Learning & Knowledge Structures
D45	Encoding models reveal selective differences in face representations in developmental prosopagnosia	Florencia Martinez-Addiego	Development, Individual Differences & Clinical Populations
B25	Encodings of multimodal conversational behavior predict trait impressions	Landry Bulls	Methods, Tools, Theory & Neural Coding
F35	Escape Response Reveals Computations Of Network Robustness	Mili Patel	Methods, Tools, Theory & Neural Coding
B75	Estimating the generative model underlying stochastic processes drives auditory perception	Clémentine Lévy-Fidel	Auditory, Speech & Language Processing
F18	Evaluating Bayesian Representational Similarity Measures between Neural Networks	Sezan Oral	Methods, Tools, Theory & Neural Coding
A65	Evaluating EMEG and ECoG Modalities for Brain-LLM Alignment in Speech Perception	Chentianyi Yang	Auditory, Speech & Language Processing
F75	Evaluating spatial perception in humans and machines	Nathan Kong	Computational Models of Vision & Visual Cortex
E62	Evidence for Efficient Coding of Naturalistic Images in Visual Short-Term Memory	Kristin M. Dang	Memory, Learning & Knowledge Structures
E92	Evidence for Object-centric Association Fields in Human Visual Cortex	Hossein Adeli	Computational Models of Vision & Visual Cortex
C61	Experience shapes strategy via embedded network dynamics	John C Bowler	Memory, Learning & Knowledge Structures
C83	Experienced dimensions of 3D scene structure provide organizing dimensions for scene-selective areas in the human brain	Mark D. Lescroart	Computational Models of Vision & Visual Cortex
C96	Eyes of the beholder: attention-guided metamers reveal divergent scene representations	Ritik Raina	Computational Models of Vision & Visual Cortex
C57	Familiarity Affects Sequence Working Memory Codes in Macaque Prefrontal Cortex and Recurrent Neural Networks	Yichen Qian	Memory, Learning & Knowledge Structures
A39	Fast Whole-Brain, Geometry-Aware Functional Alignment for Cross-Subject Decoding	Pierre-Louis Barbarant	Methods, Tools, Theory & Neural Coding
E44	Feedback Salience Differentially Affects Decision Strategies but Homogenizes Neuronal Responses in Autism and Neurotypical Individuals	Jaroslav Slobodskoy-Plusnin	Development, Individual Differences & Clinical Populations
B34	Feedback-gated synaptic modulation enables context-dependent computation in recurrent neural networks	Jingcheng Shi	Methods, Tools, Theory & Neural Coding
F22	Fine-Grained Emotion Structure in the Brain-Aligned Subspace of a Self-Supervised Video Model	Seokjin Moon	Methods, Tools, Theory & Neural Coding
F49	Flexible brain network flow rerouting from stimulus to response during rapid instructed task learning	Arun Aryal	Decision-Making, Cognitive Control & Event Cognition
E24	Flexible inference of history-dependent learning rules in de novo learning	Yuhan Helena Liu	Methods, Tools, Theory & Neural Coding
F67	Flexible remapping of working memory across gaze shifts	Deepak V Raya	Memory, Learning & Knowledge Structures
A75	fMRI and Electrophysiological Recordings are Equally Sensitive for Differentiating Deep Neural Network Models of the Brain	Khaled Jedoui Al-Karkari	Computational Models of Vision & Visual Cortex
F16	fMRIflow: A Modular, Web-Based Framework for Voxelwise Encoding Models	Omar Sherif	Methods, Tools, Theory & Neural Coding
C75	Focus particles and scalar inferences across humans and language models	Catherine M. Brousse	Auditory, Speech & Language Processing
B68	Folk Psychological Structure of Mind in Large Language Models	Rachel Charlotte Metzgar	Auditory, Speech & Language Processing
C18	Foraging minds: computational and neural foundations of perceptual flexibility	Claire Sturgill	Decision-Making, Cognitive Control & Event Cognition
B89	Foveated multiview models of human 3D shape perception	Stephanie Fu	Computational Models of Vision & Visual Cortex
E40	From Empirical to Simulated Brains: Using Digital Twin Models to Identify Therapeutic Targets in MCI	Jinyu Wang	Development, Individual Differences & Clinical Populations
D47	From Impulsivity to Engagement: Latent Behavioral States Reveal Distinct Decision Strategies in Rats	Aya Akhmetzhanova	Decision-Making, Cognitive Control & Event Cognition
F7	From Interaction to Abstraction: Using Human Behavior and Brain Activity to Evaluate How AI Systems Learn Games	Sreejan Kumar	Methods, Tools, Theory & Neural Coding
D23	From Single Neurons to Networks: Fundamental Trade-Offs in Information Processing Systems with Limited Resources	Dan Hilman Amir	Methods, Tools, Theory & Neural Coding
B4	Functional Localization as a Path to a Cumulative Research Enterprise in Human Intracranial Research	Suseendrakumar Duraivel	Methods, Tools, Theory & Neural Coding
F85	Functionally specialized units reflect readout pathways rather than distinct feature encoding in artificial neural networks	Zhengqing Miao	Computational Models of Vision & Visual Cortex
B98	GAC update: Clarifying and reconciling different perspectives on the structure of the neural code	David Klindt
C63	Gating by Both Relative and Absolute Match Helps to Optimize Episodic Memory Retrieval	Cody V. Dong	Memory, Learning & Knowledge Structures
E48	General Oscillations Theory Reveals Propagation Dynamics at Event Boundaries in Naturalistic Viewing	Eunhee Ji	Decision-Making, Cognitive Control & Event Cognition
D5	Generalized Attention Benefits that Outlast Neurofeedback Training	Deepak V Raya	Methods, Tools, Theory & Neural Coding
E94	Geometric Constraints in the Development of Primate Extrastriate Visual Cortex	Hyunju Kim	Computational Models of Vision & Visual Cortex
F65	Geometric Context Distorts Visual Spatial Working Memory	Dongwook Lim	Memory, Learning & Knowledge Structures
E100	Geometric Dynamics Across Recurrent Vision Models	Kexin Cindy Luo	Computational Models of Vision & Visual Cortex
D14	Geometric regularization of representation spaces enables efficient application of cognitive operators	Paul Liebenow	Methods, Tools, Theory & Neural Coding
C32	Geometric Signatures of Event Boundaries in Brain Foundation Models	Kyungjin Oh	Decision-Making, Cognitive Control & Event Cognition
B63	Goal-pursuit strategies in volatile environments	Eleanor Holton	Decision-Making, Cognitive Control & Event Cognition
E87	Graded Representation of Feature Salience in Neural Feature Dimension Maps	Daniel Thayer	Computational Models of Vision & Visual Cortex
C90	Grasp-relevant Representation of Objects in the Human Parietal and Occipito-temporal Cortices	Amirali Soltani Tehrani	Computational Models of Vision & Visual Cortex
B36	Heterogeneous Time Constants Enhance Robustness in Equilibrium Propagation	Yoshimasa Kubo	Methods, Tools, Theory & Neural Coding
A11	Hidden Markov Modeling of Labyrinth Navigation	Zeyu Jing	Methods, Tools, Theory & Neural Coding
F43	Hierarchical Organization of Actions in Creative Problem Solving: Evidence from the Puzzle Game Baba Is You	Xu-Yang Zhang	Decision-Making, Cognitive Control & Event Cognition
D86	Hierarchical Representational Transformations of Working Memory in Brains and Machines	Qingqing Yang	Memory, Learning & Knowledge Structures
B79	Hierarchical Temporal Expectations	Maysan Bader	Auditory, Speech & Language Processing
E68	Hippocampal map-like knowledge transfer between spatial and abstract domains	Raphael Kaplan	Memory, Learning & Knowledge Structures
E64	Hippocampal representations of temporal context during visual statistical learning	Wei Tang	Memory, Learning & Knowledge Structures
C62	Hippocampus and Prefrontal Cortex Differentially Shape Memory Responses in Visual Cortex	Aditi Narayan	Memory, Learning & Knowledge Structures
F62	HOLMES: Hierarchical Online Learning of Multiscale Experience Structure	Ines Aitsahalia	Memory, Learning & Knowledge Structures
E74	How Are Continuous Motor Skills Learned and Represented	Maoxin Xia	Memory, Learning & Knowledge Structures
F57	How do Deep Learning Models and Humans Continually Learn?	Anirudh Doppalapudi	Memory, Learning & Knowledge Structures
B16	How do RNNs encode mixtures? One mechanism for three geometries	Esther Poniatowski	Methods, Tools, Theory & Neural Coding
D77	How do we learn what to believe and which sources to trust?	Prashanti Ganesh	Memory, Learning & Knowledge Structures
C1	How Do You Know It’s Real? Controlling False Positives in Whole-Brain Neural Decoding	Zihan Li	Methods, Tools, Theory & Neural Coding
A34	How Does the Brain Dynamically Combine Visual and Conceptual Features to Support Goal-Oriented Behavior?	Bruce Hansen	Methods, Tools, Theory & Neural Coding
B53	How losses change the way we search: valence effects on generalization-guided exploration	Ingrid Martin	Decision-Making, Cognitive Control & Event Cognition
B58	How Prior Beliefs Distort the Integration of Information in Sequential Decision-Making	Imogen Scott	Decision-Making, Cognitive Control & Event Cognition
F61	How the Brain Can Build on Prior Learning: A Model and a Supporting Experiment	Lillian Chang	Memory, Learning & Knowledge Structures
E54	Human and LLM Alignment in Causal Reasoning for Narrative Events	Xian Li	Decision-Making, Cognitive Control & Event Cognition
E30	Human Attention During Localization of Memory Bugs in C Programs	Emory Michaels	Methods, Tools, Theory & Neural Coding
A51	Human Causal Reasoning Demonstrates Neurosymbolic Structure in Exploration-driven Benchmarks	Rachel Papirmeister	Memory, Learning & Knowledge Structures
F56	Human early visual cortex represents high-level visual features during recall	Futing Zou	Memory, Learning & Knowledge Structures
F52	Human Hippocampal Neurons Track Latent Social Position	Gelana Tostaeva	Memory, Learning & Knowledge Structures
D19	Human inference reflects distinct, interacting contributions of information compression and computational complexity	Jacob A Parker	Methods, Tools, Theory & Neural Coding
D56	Human medial-frontal neurons integrate language and vision to structure decision-making	Tomas Aquino	Decision-Making, Cognitive Control & Event Cognition
A48	Human Single Neurons and Predictive Models Remap Differently in Reward and Transition Relearning	Weijia Zhang	Memory, Learning & Knowledge Structures
C76	Human-aligned Universal Audio Representations with Contrastive-Equivariant Self-Supervised Learning	Ian M. Griffith	Auditory, Speech & Language Processing
C78	Human-level 3D perception emerges from multi-view learning	tyler bonnen	Computational Models of Vision & Visual Cortex
C19	Humans automatically assign credit to outcome-irrelevant features	Ido Ben-Artzi	Decision-Making, Cognitive Control & Event Cognition
D73	Humans Can Rapidly Learn What to Encode in Memory	Qihong Lu	Memory, Learning & Knowledge Structures
C97	Humans Remember People; Models Remember Pixels: Exposing Blind Spots in Visual Memorability Prediction	Virginia R. de Sa	Computational Models of Vision & Visual Cortex
D2	Hyperalignment Reveals Shared Information in Monkeys’ Idiosyncratic Fine-Grained Movie fMRI Patterns	Yuqi Zhang	Methods, Tools, Theory & Neural Coding
E33	HyperBrain-Sparta: A functional template for the human brain	Ma Feilong	Methods, Tools, Theory & Neural Coding
A18	Hyperthermia affects heterogeneity of neuronal network inducing abnormal synchronization	Rosangela Follmann	Methods, Tools, Theory & Neural Coding
E16	Identifying Multimodal-Specific Regions with Naturalistic Stimuli Using a Contrastively-Trained Neural Network	Yixing Wang	Methods, Tools, Theory & Neural Coding
F48	Impaired decision-making from intrinsic epileptiform disruption of human brain activity	Niloufar Shahdoust	Decision-Making, Cognitive Control & Event Cognition
A1	Implications of hierarchical Markov models of behavior: on irreversibility, predictability, and dimensionality	John J. Vastola	Methods, Tools, Theory & Neural Coding
B41	Independent-Component-Based Encoding Models of Brain Activity During Story Comprehension	Anna A Ivanova	Methods, Tools, Theory & Neural Coding
A50	Individual Variation in Non-Spatial Navigation is Related to Adaptive Learning and Use of Successor Representations	Aaron Bornstein	Memory, Learning & Knowledge Structures
B35	Inferring Scene Segmentations from fMRI Responses in the Natural Scenes Dataset	Tiasha Saha Roy	Methods, Tools, Theory & Neural Coding
D29	Inferring the Role of Neuromodulators in Credit Assignment Using Recurrent Neural Networks	Rimjhim Tomar	Methods, Tools, Theory & Neural Coding
A52	Inhibitory signals support working memory in sensory cortex	Robert Kim	Memory, Learning & Knowledge Structures
C88	Initial Organization of the Visual System Emerges from Structured Early Activity Before Naturalistic Experience	Seojin Lee	Computational Models of Vision & Visual Cortex
E9	Integrated Representational Signatures Strengthen Specificity in Brains and Models	Jialin Wu	Methods, Tools, Theory & Neural Coding
A45	Integrating vision and language in long-term memory metamers	Abe Leite	Memory, Learning & Knowledge Structures
E66	Intentional Visual Framing as Attentional Scaffolding: Challenging the Photo-taking Impairment Effect	Olesia Boiko	Memory, Learning & Knowledge Structures
A59	Interactions Between Features and Conjunctions during Category Learning	Heeseung Lee	Memory, Learning & Knowledge Structures
D76	Interactions of Hippocampal Category Learning with Prior Knowledge	Xiaozhi Yang	Memory, Learning & Knowledge Structures
D16	Interfacing Macaque Cortex with Language Models for Generative Neural Readout	Victoria Bosch	Methods, Tools, Theory & Neural Coding
E71	Interleaved Learning Blurs Both Direct and Indirect Associative Memory	Alexander Gordienko	Memory, Learning & Knowledge Structures
A43	Internal noise, not error correction, limits the development of synchronization and adaptation	Michal Dobner	Development, Individual Differences & Clinical Populations
C72	Interpretable Language-Model Encoding of Voxel-Level Tuning During Language Comprehension	Michael A. Lepori	Auditory, Speech & Language Processing
A14	Interpreting Neural Encoding Models: Voxel-Level Feature Discovery with Causal Validation	Idan Daniel Grosbard	Methods, Tools, Theory & Neural Coding
D39	Intra- and Inter-Regional Neural Excitation Model Identifies Age-Related Effects	Yeongjun Park	Development, Individual Differences & Clinical Populations
D3	Invariant correlation: a general and straightforward method to quantify invariance in time-varying neural signals	Jarrod M. Hicks	Methods, Tools, Theory & Neural Coding
B27	INVERSE MODELING OF AUDITORY CORTICAL-SUBCORTICAL DYNAMICS FROM SCALP EEG SIGNALS VIA JOINT PSD NETWORKS	Shourya Verma	Methods, Tools, Theory & Neural Coding
B67	Investigating Invariances in Auditory Event Categorization with Model Metamers	Hee So Kim	Auditory, Speech & Language Processing
A16	Is This the Real Life? Is This Just Fantasy? A Domain Adaptation Framework for Identifying Higher-Order Reality Representations	Ali Ekhlasi	Methods, Tools, Theory & Neural Coding
A53	Keep it in Sight: Reward Function Compression Through Goal Visibility	Xitong Chen	Memory, Learning & Knowledge Structures
D89	Language Experience Reshapes Conceptual Boundaries	Maya Taliaferro	Memory, Learning & Knowledge Structures
E53	Large Language Models Infer Hidden Preferences from Gaze but Fail to Exploit Response Times	Mrugsen Nagsen Gopnarayan	Decision-Making, Cognitive Control & Event Cognition
A74	Large-scale vision models show sparks of visual reasoning from natural image training	Thomas Serre	Computational Models of Vision & Visual Cortex
C86	Latent Brain States Improve Prediction of Neural Responses to Visual Stimuli in Mouse V1	Zijian Jiang	Computational Models of Vision & Visual Cortex
E56	Latent Computational Phenotypes of Risky Decision-Making Predict Orbitofrontal Neural Responses During the Balloon Analog Risk Task	Daniel Feldman	Decision-Making, Cognitive Control & Event Cognition
A13	Latent-fMRI: Latent Neural Representations in Naturalistic fMRI using Contrastive Learning	Kajal Singla	Methods, Tools, Theory & Neural Coding
E78	Lateral Recurrence as a Domain-Selective Mechanism	Amirhossein Farzmahdi	Computational Models of Vision & Visual Cortex
B94	Learning a Max-Entropy Diffusion Model for Visual Textures	Xinyuan Zhao	Computational Models of Vision & Visual Cortex
A54	Learning Flexible Task Representations from Temporal and Sequential Regularities in Continuous Experience	Aidan Higgs	Memory, Learning & Knowledge Structures
A64	Learning Language by Listening: A Computational Learnability Account	Greta Tuckute	Auditory, Speech & Language Processing
F83	Learning long-range spatial dependencies with spectral convolutional state space models	Grégoire DHIMOÏLA	Computational Models of Vision & Visual Cortex
C35	Learning Long-Range Temporal Dependencies Through Sleep-Inspired Acceleration	Nicholas Soures	Memory, Learning & Knowledge Structures
E72	Learning Mental Models Under Unreliable Evidence	Jeffrey Qin	Memory, Learning & Knowledge Structures
A37	Learning Optimally Fast: a Normative Theory Balancing Effort and Performance	Rodrigo Carrasco-Davis	Methods, Tools, Theory & Neural Coding
A55	Learning the paths to goals in the absence of reward	Yunchang Zhang	Memory, Learning & Knowledge Structures
B91	Learning to see via predictive exploration of a 3D environment enhances visual representation of scene geometry	Rupert Tawiah-Quashie	Computational Models of Vision & Visual Cortex
E47	Learning to select computations in recurrent circuits	Frederick Callaway	Decision-Making, Cognitive Control & Event Cognition
D88	Learning what matters: Discovering reward-indicative dimensions from naturalistic objects	Yifan Luo	Memory, Learning & Knowledge Structures
C64	Lexical representations are sequenced through a micro-scale dynamic code in inferior frontal gyrus	Irmak Ergin	Auditory, Speech & Language Processing
F32	LieCAN: Neural attractor networks that perform real-world pose representation and path integration	Deven Shidfar	Methods, Tools, Theory & Neural Coding
F71	Linear spectrotemporal tuning accounts for much of phonetic feature encoding in the human auditory cortex	Krish G. Patel	Auditory, Speech & Language Processing
B59	LLMs Lack Dissociable Planning Failures Observable in Humans and Deep RL on Tower of Hanoi	Austin Tudor David Andrews	Decision-Making, Cognitive Control & Event Cognition
E95	Local Texture Statistics are Sufficient for Category-level Contingent Capture	Yuhan Shi	Computational Models of Vision & Visual Cortex
D33	Localizing excitation-inhibition imbalance in schizophrenia with virtual brains informed by white-matter microstructure	Kailin Zhu	Development, Individual Differences & Clinical Populations
F50	Long-lasting working memory emerges from the dynamics of hierarchical neural assemblies	Merav Stern	Memory, Learning & Knowledge Structures
D68	Looking at nothing during deliberation reflects optimal sampling from episodic memory	Jonathan Nicholas	Memory, Learning & Knowledge Structures
D62	Loss-calibrated attention in a neural sampling model of perceptual decision-making	Khayla Black	Decision-Making, Cognitive Control & Event Cognition
E51	Low-Rank Temporal Factorization of Drift-Diffusion Dynamics Reveals Staged Evidence Integration	JINGMING XUE	Decision-Making, Cognitive Control & Event Cognition
E20	Making implicit assumptions of predictive processing explicit	Alejandro Tabas	Methods, Tools, Theory & Neural Coding
A99	Manipulating human gaze reveals a cost structure of natural visual search	Hyunwoo Gu	Computational Models of Vision & Visual Cortex
A82	Mapping Social Trait Judgments on the Human Cerebral Cortex Using Naturalistic, Dynamic Stimuli	Po-Yuan Alan Hsiao	Computational Models of Vision & Visual Cortex
C93	Measuring Depth Inference in the Ames Window Illusion	Emil Stroecker	Computational Models of Vision & Visual Cortex
A6	Measuring Internal Representational Alignment between Conceptual Metaphor Domains	Afjal Chowdhury	Methods, Tools, Theory & Neural Coding
E2	Measuring the Representational Alignment of Neural Systems in Superposition	David Klindt	Methods, Tools, Theory & Neural Coding
C70	Mechanisms of Emergent Analogical Mapping	Caleb Musfeldt	Auditory, Speech & Language Processing
C41	Mechanistic Model of Salience-Gated Memory Consolidation via the Anteromedial Thalamus	Stephan Kim	Memory, Learning & Knowledge Structures
C79	Memorability Varies with How Visual Information Is Sampled by Humans and Models	Sule Tasliyurt Celebi	Computational Models of Vision & Visual Cortex
C56	Memories reflect the expected value of abstraction	Jae-Young Son	Memory, Learning & Knowledge Structures
E67	Memory Consolidation sharpens fine-grained structural representations in auditory sequence learning	Xiaoyue Zhou	Memory, Learning & Knowledge Structures
E60	Memory Subspaces for Temporal Locations Across Timescales in the Monkey Precuneus	Sze Chai Kwok	Memory, Learning & Knowledge Structures
A4	Meta-learning In-Context Enables Training-Free Cross Subject Decoding of Vision and Motor	Andrew F. Luo	Methods, Tools, Theory & Neural Coding
F41	Metabolic cost of information processing in Poisson variational autoencoders	Hadi Vafaii	Methods, Tools, Theory & Neural Coding
C59	Metacognitive sensitivity governs adaptive representational compactness in hierarchical structure learning	Rochelle Kaper	Memory, Learning & Knowledge Structures
C91	Mid-level Motion Statistics as a Model for Dynamic Visual Perception in the Lateral Stream	Ming Zhou	Computational Models of Vision & Visual Cortex
E80	Model manifold analysis suggests the human ventral visual system is less like an optimal classifier and more like a feature bank	Colin Conwell	Computational Models of Vision & Visual Cortex
F76	Model-based Characterization of the Lateral Visual Stream	Yingtian Tang	Computational Models of Vision & Visual Cortex
C14	Model-based error signals in the frontal cortex precede successful inference and hippocampal context updating during human latent-state inference	Daniel Deng	Decision-Making, Cognitive Control & Event Cognition
A84	Model-derived Minimal Image Pairs Predict Differential Responses in Human Scene-Selective Cortex	Junxia Wang	Computational Models of Vision & Visual Cortex
B69	Modeling human echolocation using a Kalman filter	Sofia Krasovskaya	Auditory, Speech & Language Processing
C44	Modeling Human Reasoning Errors on ARC with Natural Language Programs	Jinran Jin	Memory, Learning & Knowledge Structures
C80	Modeling Visual Cortex by Maximizing Layerwise Multiscale Manifold Capacity	Thomas Edward Yerxa	Computational Models of Vision & Visual Cortex
B77	Modern Machine Systems Exhibit Superhuman Speech Recognition	Annika Magaro	Auditory, Speech & Language Processing
B21	Modularity maximization reveals network-level organization and synaptic localization	Gabrielle J. Gutierrez	Methods, Tools, Theory & Neural Coding
D11	Modulation of synaptic connectivity by population activity	Tian Qiu	Methods, Tools, Theory & Neural Coding
C81	More shape bias does not mean more human-like visual representations	Alban Flachot	Computational Models of Vision & Visual Cortex
E4	Moving beyond the stimulus to encode subjective narrative experience in the human brain	Sushmita Sadhukha	Methods, Tools, Theory & Neural Coding
E70	Multi-regional neural network models capture distributed working memory representations in human fMRI	Eun Tack Cho	Memory, Learning & Knowledge Structures
D10	Multi-View Temporal Alignment for Cross-Species fMRI	Kurt Braunlich	Methods, Tools, Theory & Neural Coding
F74	Multimodal Scaling Laws for Task & Data-Optimized Models of Visual Cortex	Abdulkadir Gokce	Computational Models of Vision & Visual Cortex
E18	Multimodal Transformer Brain Encoder Captures fMRI Responses during Naturalistic Video Viewing	Pinyuan Feng	Methods, Tools, Theory & Neural Coding
F54	Multistep representation of social networks in LLMs	Daniel L. Carstensen	Memory, Learning & Knowledge Structures
C89	Natural image training enhances generalization in visual number sense of deep neural networks	Joohyun Lee	Computational Models of Vision & Visual Cortex
C10	Network Activity Flow Models Dissociate Local and Distributed Mechanisms of Visuomotor Hyperactivation after Concussion	Farzin Hajebrahimi	Development, Individual Differences & Clinical Populations
D6	Neural Alignment Reveals Selective Reorganization in Domain-Adapted Language Models	Miriam Havin	Methods, Tools, Theory & Neural Coding
A41	Neural attractor dynamics predict relapse after rapid pharamacological perturbation of mood in difficult-to-treat depression	Selena Singh	Development, Individual Differences & Clinical Populations
E6	Neural coding of complex behavior in humans: from widespread engagement to microtask tuning	Yingxi Jin	Methods, Tools, Theory & Neural Coding
F12	Neural computation for prediction in noisy, unknown environments	Jacopo Epifanio	Methods, Tools, Theory & Neural Coding
E75	Neural Encoding and Reinstatement of Multimodal Information during Naturalistic Viewing	Jixing Li	Memory, Learning & Knowledge Structures
A70	Neural Encoding of Syntactic Movement in English but Not Chinese	Yuhan Huang	Auditory, Speech & Language Processing
F1	Neural Footprints: Variance-Based Methods Systematically Miss High-Level Representations	Jon Gauthier	Methods, Tools, Theory & Neural Coding
A33	Neural implementation of temporal difference error via meta reinforcement learning	Christopher M Kim	Methods, Tools, Theory & Neural Coding
A67	Neural Indices of Language Processing are Enhanced during Interactive Conversation	Calli Smith	Auditory, Speech & Language Processing
C48	Neural mechanisms underlying valence bias in reinforcement learning and episodic memory across development	Sahithyan Sivakumaran	Memory, Learning & Knowledge Structures
F21	Neural Prediction Decorrelation in Human Auditory Cortex	David Skrill	Methods, Tools, Theory & Neural Coding
E81	Neural priority maps encode behavioral relevance independently across multiple attended locations	Amelia H. Harrison	Computational Models of Vision & Visual Cortex
C71	Neural Representations of Speech and Music under Temporal Compression	Zhengwu Ma	Auditory, Speech & Language Processing
D70	Neural Representations of Target and Commonly Co-Occurring Objects Accessed Prior to Visual Search	Bhavin Choksi	Memory, Learning & Knowledge Structures
E52	Neural signatures of event prediction in novel videos	Caroline Lee	Decision-Making, Cognitive Control & Event Cognition
F46	Neural Signatures of Evidence Accumulation in Continuous Estimation	Klaus Wimmer	Decision-Making, Cognitive Control & Event Cognition
D41	Neural signatures of impaired semantic contextualization in Autism Spectrum Disorder	Melissa Franch	Development, Individual Differences & Clinical Populations
C4	Neural Typicality During Naturalistic 7T fMRI Reflects Cognitive Performance in Multiple Sclerosis	Ido Har-Shalom	Development, Individual Differences & Clinical Populations
B46	Neural Typicality in Naturalistic fMRI Defines an Interpretable Representation for Clinical Classification	Michal Ramot	Development, Individual Differences & Clinical Populations
B39	NeuralPlayground: A Standardised Environment for Evaluating Models of Hippocampus and Entorhinal Cortex	Clémentine Carla Juliette Dominé	Methods, Tools, Theory & Neural Coding
A25	NeuroBabyLM: A Benchmark for Brain Alignment in Language Models Trained on Developmentally-Plausible Datasets	Ahhyun Lucy Lee	Methods, Tools, Theory & Neural Coding
A15	Neuroscience-Inspired Analyses of Visual Interestingness in Multimodal Transformers	Mathis Immertreu	Methods, Tools, Theory & Neural Coding
D42	Neuroticism contributes to cognitive decline and Alzheimer’s disease through dysregulation of excitatory neurons	Sneha Sharma	Development, Individual Differences & Clinical Populations
A73	NeuroTIMM: Harmonizing the TIMM Model Zoo with Human Visual Strategies	Akash Nagaraj	Computational Models of Vision & Visual Cortex
E42	Normative modelling characterises individual brain heterogeneity and improves cognitive prediction in chronic moderate-severe traumatic brain injury	Gavin Gan	Development, Individual Differences & Clinical Populations
B56	Not all uncertainty promotes exploration	Fukun Evelene Zhang	Decision-Making, Cognitive Control & Event Cognition
B40	Nothing from Something: Can a Language Model Discover 0?	Phoebe Zeng	Methods, Tools, Theory & Neural Coding
D83	One-Shot category learning and memory in human adults	Anna Krey	Memory, Learning & Knowledge Structures
A20	Optimally Structured Mixed Selectivity. A Normative Theory of Control in Neural Circuits	Will Dorrell	Methods, Tools, Theory & Neural Coding
B20	Optimizing Language Model Embeddings to Voxel Activity Improves Brain Activity Predictions	Anuja Negi	Methods, Tools, Theory & Neural Coding
A86	Origins of Category Selectivity: Natural Image Statistics Are Necessary but Not Sufficient	Bowen Zheng	Computational Models of Vision & Visual Cortex
C60	Orthogonal Neural Subspaces in Working Memory Circuits Support Interference Protection and Flexible Updates	Liu Yuezhang	Memory, Learning & Knowledge Structures
B2	Orthogonal Task Representation Enables Flexible Task Switching in Human OPM-MEG and Neural Networks	Xiaoyi Liu	Methods, Tools, Theory & Neural Coding
B48	Oscillation in Motion: Dissociable Periodic and Aperiodic EEG Markers of Baseline Cognition and Treatment Response Following Exercise in Schizophrenia Spectrum Disorders	Deniz Yilmaz	Development, Individual Differences & Clinical Populations
A21	Othello-GPT Does Not Have a World Model: Lessons for Attributing World Models to Neural Systems	John Morrison	Methods, Tools, Theory & Neural Coding
B51	Outcome-driven decisions dominate causal inference in autism across species	Aviel Sulem	Development, Individual Differences & Clinical Populations
D44	Overgeneralization Emerges from Latent Cause Inference	Raphael Yamamoto	Development, Individual Differences & Clinical Populations
D65	Parallel biases in affective reactivity and learning from counterfactual feedback	Kate Nussenbaum	Decision-Making, Cognitive Control & Event Cognition
A26	Parallel synapses and divisive normalization enhance classification capacity	Caitlin Lienkaemper	Methods, Tools, Theory & Neural Coding
B8	Parameter symmetries determine representational geometry in overparameterized nonlinear networks	Erin Grant	Methods, Tools, Theory & Neural Coding
E10	Partitioning Signal and Noise (PSN): A modality-general denoising technique for neural responses	Jacob S. Prince	Methods, Tools, Theory & Neural Coding
F5	Peptide-mediated timescale separation underlies Bayesian causal inference during multisensory integration	Madeleine C Snyder	Methods, Tools, Theory & Neural Coding
B61	Perceived partner complexity affects agency attribution and asymmetries in reinforcement learning	Sepehr Razavi	Decision-Making, Cognitive Control & Event Cognition
F92	Perceiving Object Motion with Shadow Cues	Reuben McNair	Computational Models of Vision & Visual Cortex
F88	Perception as Phase-Based Dynamics over Competing Interpretations	Seoyoung Ahn	Computational Models of Vision & Visual Cortex
E59	Perceptual Consciousness Facilitates Model-based Decision Making	Chang Christina He	Decision-Making, Cognitive Control & Event Cognition
D92	Perceptual Distance from a Deep Neural Network (DNN) Predicts Human Brain Response to Foreign Accented Speech	Shang-En Huang	Auditory, Speech & Language Processing
E97	Performance Matters More Than You Think: A Saturation-Effect Resolution to the Predictivity Debate	Khaled Jedoui Al-Karkari	Computational Models of Vision & Visual Cortex
C84	Persistent polar-angle asymmetries in performance and system-level computations despite equating cortical size	David Tu	Computational Models of Vision & Visual Cortex
E41	Physical Stress Disrupts Maladaptive Emotion-Decision Loops in Depression with Non-Suicidal Self-Injury: Evidence from a Combinatorial Bandit Task	Guang-Yu Deng	Development, Individual Differences & Clinical Populations
C55	Place Cells and Grid Cells Refine Each Other: A Clone-Structured Cognitive Graphs Model	Yicong Zheng	Memory, Learning & Knowledge Structures
F63	Planning and remembering in partially observable settings	Ryan Fayyazi	Memory, Learning & Knowledge Structures
C24	Planning as a Cognitive Cost that Discourages Goal Switching	Luke Cho	Decision-Making, Cognitive Control & Event Cognition
D9	Pooling Across Brains: Embedding‑SRM Enables Encoding Models in Ultra‑Low‑Data ECoG	ARNAB BHATTACHARJEE	Methods, Tools, Theory & Neural Coding
B85	Power-Law Enhancement for Rate-Based Binding in Object-Centric Perception	Ishanvir S. Choongh	Computational Models of Vision & Visual Cortex
F84	Predicting Detail from Blur Enables Learning of Robust Visual Representations	Akihito Maruya	Computational Models of Vision & Visual Cortex
A31	Predicting EEG Spectrograms from fMRI to Identify Brainwide Activity Underlying Neural Rhythms	Arnav Aggarwal	Methods, Tools, Theory & Neural Coding
B47	Predicting Individualized Functional Topographies in Autism Spectrum Disorder	Ian Abenes	Development, Individual Differences & Clinical Populations
B71	Predicting Sound Detection in Auditory Scenes Using Task-Optimized Neural Networks	Sagarika Alavilli	Auditory, Speech & Language Processing
E77	Predictive Latent Simulation as a Memory Retrieval Mechanism	Yunzhe XU	Memory, Learning & Knowledge Structures
F90	Predictive learning explains emergence of objects in infants	Alekh Karkada Ashok	Computational Models of Vision & Visual Cortex
A92	Prenatal retinal waves generate the proto-architecture of newborn visual systems	Samantha Marie Waters Wood	Computational Models of Vision & Visual Cortex
D22	Presence Expectations Modulate the Neural Signatures of Content Prediction Errors	Martha Cottam	Methods, Tools, Theory & Neural Coding
C26	Proactive-Like Context Processing Emerges in Transformers Learning Simple Cognitive Tasks	Krishn Bera	Decision-Making, Cognitive Control & Event Cognition
C54	Probabilistic World Models Provide a Shared Account for Learning from Surprise, Schemas, and Imagination	Shrey Dixit	Memory, Learning & Knowledge Structures
F89	Probing the Timescale of Conscious Vision	Richard O'Farrell	Computational Models of Vision & Visual Cortex
E36	Process-Level Evaluation of Social Inference in LLMs	Elif Akata	Methods, Tools, Theory & Neural Coding
F70	Processing the Unexpected: Contributions of Multiple Semantic Dimensions	Harshada Vinaya	Auditory, Speech & Language Processing
C65	Prospective Planning and Retrospective Integration: Distinct Neural Signatures of Future and Past in Naturalistic Conversations	Itamar Jalon	Auditory, Speech & Language Processing
B76	Protracted development of receptive field tuning in human auditory cortex	Oyindamola Ogunlade	Auditory, Speech & Language Processing
A24	PyDDMBayes: A Multilevel Bayesian Framework for Generalized Drift-Diffusion Modeling	Covert Geary	Methods, Tools, Theory & Neural Coding
F86	QualiaNet: An Experience-Before-Inference Network	Paul Linton	Computational Models of Vision & Visual Cortex
B15	Quantifying information gain in narrative stimuli using open-source large language models	Aidan Goeschel	Methods, Tools, Theory & Neural Coding
D27	re:vision – A community-driven replication initiative for image-related neuroscience	Luca Kämmer	Methods, Tools, Theory & Neural Coding
E99	Reading & Writing Visual Cortex: Sparse Autoencoders as a Semantic Interface to the Brain	Mario Serrafero	Computational Models of Vision & Visual Cortex
E50	Reading Upper Body Movements Improves Prediction and Limits Deception in a Competitive Reaching Task	Anna Filina	Decision-Making, Cognitive Control & Event Cognition
E7	Recent Trial History Improves Encoding Models of Brain Responses During Emotional Video Viewing	Shuzo Naruse	Methods, Tools, Theory & Neural Coding
B6	Recurrent Processing Diversely Reshapes Within- and Between-Category Geometry in Macaque IT	Wang Boran	Methods, Tools, Theory & Neural Coding
A71	Recycling and Co-option Are Dissociable Mechanisms of Cortical Reorganization	Lauren S Aulet	Computational Models of Vision & Visual Cortex
A69	Remembered dialogue can shift alignment-relevant behavior in LLMs, with conditional effects of source credibility	Chad DeChant	Auditory, Speech & Language Processing
E76	Replay Supports Both Future and Immediate Decisions by Updating a Successor Representation	Shuheng Guo	Memory, Learning & Knowledge Structures
A28	Representation can dissociate from function and behaviour in task-optimised vision networks	Marvin Theiss	Methods, Tools, Theory & Neural Coding
D50	Representation learning and choice in naturalistically complex environments	Dale Zhou	Decision-Making, Cognitive Control & Event Cognition
E31	Representational drift dominates cross-session decoder degradation in mouse primary visual cortex	Santiago Tobio	Methods, Tools, Theory & Neural Coding
A79	Representational dynamics in inferotemporal cortex depend on image manifold scale	Ammar I Marvi	Computational Models of Vision & Visual Cortex
B96	Representational Geometry of Optic Flow Determines Heading Direction Encoding in Macaque MSTd	Nathaniel Powell	Computational Models of Vision & Visual Cortex
D75	Representational Geometry Reflects the Dynamics of Experience: Evidence from Relational Learning of Emotion Concepts	Yumeng Ma	Memory, Learning & Knowledge Structures
F40	Representational Neighborhoods and Multi-Agent Optimization for Creative Concept Combination in Large Language Models	Manikya Venkata Gnaneswar Villuri	Methods, Tools, Theory & Neural Coding
C28	Representational Structure of Ordered Contexts	Siddhant Iyer	Decision-Making, Cognitive Control & Event Cognition
C67	Reservoir Network Model of Asymmetric Acoustic Priming reveals Chaotic Dynamics in Auditory Brainstem	Praveena Satkunarajah	Auditory, Speech & Language Processing
A85	Rethinking the inversion effect as a graded phenomenon across object categories	Jakob Winkler	Computational Models of Vision & Visual Cortex
E22	Reused representations and connectivity drive compositional generalization	Iman A. Wahle	Methods, Tools, Theory & Neural Coding
E38	Revealing core representational axes of neural networks through learning dynamics and brain alignment	Zirui Chen	Methods, Tools, Theory & Neural Coding
A22	Revealing the geometry of duration space	Camille L. Grasso	Methods, Tools, Theory & Neural Coding
D30	Robustness and Efficiency Organize Neural Wiring Across Primate Clades	Ittai Shamir	Methods, Tools, Theory & Neural Coding
A7	RSVP-induced ERP Class Posteriors Reflect Graded Neural Perception of Humanoid Images	Basak Celik	Methods, Tools, Theory & Neural Coding
F64	Rule learning distorts memory for pre-learning decisions	Matan Mazor	Memory, Learning & Knowledge Structures
C40	Sampling as a Resource-Rational Learning Mechanism	Muhammad Hashim Satti	Memory, Learning & Knowledge Structures
E93	Scaling Behavioral Probes of Face Processing: Inversion and Thatcher Effects in Deep Networks	Srijani Saha	Computational Models of Vision & Visual Cortex
F25	Selective attention modulates the flow of information between visual- and lexical-semantic networks in the human brain	Emily X. Meschke	Methods, Tools, Theory & Neural Coding
F44	Self-paced rest decisions: stable but ineffective for recovery	Nastasia Klevak	Decision-Making, Cognitive Control & Event Cognition
B43	Self-Supervised Modelling of Social Primitives in Human Dyads	Thibaut Chataing	Development, Individual Differences & Clinical Populations
D36	Semantic Drivers of Gaze in Individuals With and Without Autism During Dyadic Conversation	Katerina M Simkova	Development, Individual Differences & Clinical Populations
B70	Semantic efficiency and human-alignment in multilingual multimodal large language models	Nathaniel Imel	Auditory, Speech & Language Processing
D25	Semantic Neighborhood Density and Eye Gaze Time in Human Programmer Attention	Robert Wallace	Methods, Tools, Theory & Neural Coding
C58	Sensorimotor context modulates reinforcement learning	Elliot Huang	Memory, Learning & Knowledge Structures
A76	Separating Numerosity and Proportion Representations Through Pretraining	Yechan Cho	Computational Models of Vision & Visual Cortex
B64	Serial Dependence in Value-based Decisions Is Gated by Uncertainty	Ling Huang	Decision-Making, Cognitive Control & Event Cognition
D69	Shallow Hippocampal Anticipation and Dopamine Responses During Evaluation of Novel Shortcuts	Gili Karni	Memory, Learning & Knowledge Structures
B54	Shared and context-dependent cortico–striatal–cerebellar organization of temporal prediction	Ana Luísa Pinho	Decision-Making, Cognitive Control & Event Cognition
C15	Shared and Distinct Neural Responses at Event Boundaries and Task Transitions	Zhuoyang Li	Decision-Making, Cognitive Control & Event Cognition
F3	Shared neural circuits for brain-wide nonstationary dynamics	Adam Shabti Charles	Methods, Tools, Theory & Neural Coding
F53	Shared neural geometries for bilingual semantic and grammatical representations in human hippocampal neurons	Xinyuan Yan	Memory, Learning & Knowledge Structures
C52	Shortest-Path Planning on Learned Latent-State Maps Better Fits Biological Navigation Data Than Tabular Successor Representations	Zacharie Bugaud	Memory, Learning & Knowledge Structures
D24	Signal-to-Noise Ratio Predicts Neural Response Predictability with Limited Association with Tuning Properties in Mouse Visual Cortex	Weiwei Wang	Methods, Tools, Theory & Neural Coding
A29	Signals vs. synchrony: decoding affective processing from voxel activation vs. functional connectivity in task-based fMRI	Cécile Abati	Methods, Tools, Theory & Neural Coding
A17	Signatures of discrete action representations emerge in a task-optimized neuro-symbolic model	Carlos G. Correa	Methods, Tools, Theory & Neural Coding
A91	Simple 3D Pose Features Support Human and Machine Social Scene Understanding	Wenshuo Qin	Computational Models of Vision & Visual Cortex
E65	Simulating hippocampal-mPFC interactions with a mixture-of-experts model	Dhairyya Singh	Memory, Learning & Knowledge Structures
D85	Single-Neuron Evidence for Hippocampal Long-Axis Gradient Supporting Semantic Coding in Humans	Sophia Cheng	Memory, Learning & Knowledge Structures
D54	Slow reasoning can reflect pressure to minimize information processing costs	Nicholas Fagan	Decision-Making, Cognitive Control & Event Cognition
D35	Slow Update of Motor Plans in Autism is Associated with Reduced ACC Activation	Keren Kasten	Development, Individual Differences & Clinical Populations
F87	Spatial Attention Enhances Figure-Ground Modulation in Human Early Visual Cortex	Emil Olsson	Computational Models of Vision & Visual Cortex
D67	Spatial Structure Facilitates Category Learning through Structured Representations	Michelle B. Hefner	Memory, Learning & Knowledge Structures
B37	Spatial uncertainty underlies geometric distortions in navigation and grid cell tuning	Yul HR Kang	Methods, Tools, Theory & Neural Coding
C37	Specialized Computations for Generalized World Modelling in Prefrontal Cortex	Fahd Yazin	Memory, Learning & Knowledge Structures
B7	Spectral structure of rehabilitation experience constrains behavioural recovery after stroke	Noor Sajid	Methods, Tools, Theory & Neural Coding
B24	Speed vs. Accuracy in aDDM Inference: Where Shortcuts Fail!	Andrew Zhang	Methods, Tools, Theory & Neural Coding
D87	Spontaneous and Surprise-induced Changes in the Hippocampal Map	Alina Krause	Memory, Learning & Knowledge Structures
F23	Stable endogenous brain–body dynamics dominate cortical activity during naturalistic cognition	Jens Madsen	Methods, Tools, Theory & Neural Coding
C94	Stable Selectivity to Social Interactions Across Visual Perspective in the Human Brain	Niloufar Faridani	Computational Models of Vision & Visual Cortex
B66	Start simple: the benefit of shaping in learning under different cognitive loads	Ti-Fen Pan	Memory, Learning & Knowledge Structures
E89	State-Dependent Organization of Microscale Functional Circuitry in Mouse Visual Cortex	Rahul Biswas	Computational Models of Vision & Visual Cortex
B88	Steerable autoencoders model saccadic remapping and visual stability by linking identity to location in visual cortex	Tim V. Nguyen	Computational Models of Vision & Visual Cortex
C82	Still No Evidence for Cross-Fixational Integration: Non-Linear Encoding of Cortical Responses During Natural Vision	Carmen Amme	Computational Models of Vision & Visual Cortex
C7	Structure and diversity in children's line drawings of object categories across four international contexts	Haoyu Du	Development, Individual Differences & Clinical Populations
D7	Structure, disorder, and dynamics in task-trained recurrent neural circuits	David G Clark	Methods, Tools, Theory & Neural Coding
C87	Subjective surprise is encoded in high-level visual representations of magic tricks	Monica Thieu	Computational Models of Vision & Visual Cortex
D71	Summaries of Naturalistic Narratives Reflect Underlying Event Structure in Episodic Memory	Claire Sun	Memory, Learning & Knowledge Structures
C20	Super-diffusive memory search drives fast and accurate decisions	Euan Prentis	Decision-Making, Cognitive Control & Event Cognition
A12	System identification from raw EEG during clinical propofol sedation with an interpretable latent SDE model	K. Seeliger	Methods, Tools, Theory & Neural Coding
D79	Task context shapes strategy for memory-guided decision in a neural network	Moufan Li	Memory, Learning & Knowledge Structures
A47	Task demands and inductive biases jointly shape the generality of working memory gating policies	Aalok Sathe	Memory, Learning & Knowledge Structures
B95	Task Demands Dynamically Structure Feature Selection, Routing, and Integration in the Human Brain	Yuening Yan	Computational Models of Vision & Visual Cortex
D31	Task Representational Dynamics For Compositional Generalization During Context-dependent Cognitive Tasks	Lakshman N.C. Chakravarthula	Methods, Tools, Theory & Neural Coding
B3	Task-guided cross-subject latent alignment: a multi-encoder-decoder VAE	Angeliki Papathanasiou	Methods, Tools, Theory & Neural Coding
F42	Task-irrelevant physical effort exertion boosts arousal and facilitates latent state update	Haoxue Fan	Decision-Making, Cognitive Control & Event Cognition
F82	Task-specific scene semantics from language predicts human gaze in navigation and visual search	Michelle R. Greene	Computational Models of Vision & Visual Cortex
A93	Temporal dynamics and location tolerance of object category representation are unaffected by the presence of multiple objects	Rotem Krispil	Computational Models of Vision & Visual Cortex
E82	Temporal Dynamics of Spatial Frequencies in Visual Word, Object, and Place Recognition	Clémence Bertrand Pilon	Computational Models of Vision & Visual Cortex
C69	Temporal integration in speech-trained deep neural networks aligns with and diverges from human auditory cortex	Yahia Abdalla	Auditory, Speech & Language Processing
F77	Temporal Prediction Produces Viewpoint-Consistent, Human-Aligned Vision in DNNs	Peisen Zhou	Computational Models of Vision & Visual Cortex
D52	Temporal Processing during Decision-Making under Uncertainty	Rikki Rabinovich	Decision-Making, Cognitive Control & Event Cognition
F38	Testing the Bayesian Confidence Hypothesis: Model Space, Linking Hypothesis and Empirical Fit	Xinyi Yuan	Methods, Tools, Theory & Neural Coding
B83	Testing theories of segment-based neural representation in macaque V1	Tridib Kalyan Biswas	Computational Models of Vision & Visual Cortex
D20	The adaptive relational bottleneck: regulation of attention in the service of abstraction	Keith Thomas Murray	Methods, Tools, Theory & Neural Coding
C12	The aging of creative problem solving revealed by the dynamics of latent cognitive-behavioral states	Zhang Xuhui	Development, Individual Differences & Clinical Populations
F34	The Architecture of Cortical Timing: From Local Clustering to Global Hierarchies	Sara Varetti	Methods, Tools, Theory & Neural Coding
C8	The Baby Intuitions Benchmark 2: Evaluating Social Intelligence in Humans and Machines	Shannon Yasuda	Development, Individual Differences & Clinical Populations
C22	The Claw Machine Task: Modelling Confidence in Tool Use	Polina Arbuzova	Decision-Making, Cognitive Control & Event Cognition
F59	The cost of alternative actions: counterfactual false memories	Maia Juliet Armstrong	Memory, Learning & Knowledge Structures
A61	The Dataset Matters: Linking Image Memorability to Adversarial Robustness	Ehsan Ur Rahman Mohammed	Memory, Learning & Knowledge Structures
D34	The developmental trajectory of temporal dynamics in human visual representations	Chun-Hui Li	Development, Individual Differences & Clinical Populations
D59	The effects of reassurance calibration on evidence sampling and commitment in LLM simulations of jumping-to-conclusions bias	Reema Abdulaziz	Decision-Making, Cognitive Control & Event Cognition
F30	The Geometry of Drifting Spatial Representations	Yile Wang	Methods, Tools, Theory & Neural Coding
E73	The hippocampus represents abstract graph structure at multiple scales along its longitudinal axis	Valerio Rubino	Memory, Learning & Knowledge Structures
C43	The impact of noise on memorability in minds and machines	Martin Wiener	Memory, Learning & Knowledge Structures
E90	The Latent Dimensions Supporting Dynamic Social Scene Perception	Kathy Garcia	Computational Models of Vision & Visual Cortex
C50	The negative relationship between cognitive ability and metacognitive accuracy is specific to memory domain	Bingqing Chen	Memory, Learning & Knowledge Structures
E17	The Right STS Responds Preferentially to Communicative Signals	Emalie McMahon	Methods, Tools, Theory & Neural Coding
B72	The Role of Prior Precision and Prior Probability in Voice Perception	Carina Ufer	Auditory, Speech & Language Processing
A81	The role of shape and local features in human object recognition and learning	Allan R. Schneider	Computational Models of Vision & Visual Cortex
B92	The Transformer May Be the Universal Cortical Microcircuit	Yash Shah	Computational Models of Vision & Visual Cortex
F2	The Wisdom of a Crowd of Brains: A Universal Brain Encoder	navve wasserman	Methods, Tools, Theory & Neural Coding
E3	Theory of Mind Improves Multi-Agent Coordination: Accuracy Thresholds and Active Inference	William Beaumaster	Methods, Tools, Theory & Neural Coding
D72	Theta Oscillations Shape Load-Dependent Working Memory via Inhibitory Synchronization	Renee Tung	Memory, Learning & Knowledge Structures
E11	Think-Aloud Reshapes Automated Cognitive Model Discovery Beyond Behavior	Hanbo Xie	Methods, Tools, Theory & Neural Coding
A56	Timing of Guidance Shapes Experiential Learning	Divya Srinivasan	Memory, Learning & Knowledge Structures
E29	Topographic constraints drive the emergence of grid-cell center-surround connectivity in path-integrating networks	Navneet Prakash	Methods, Tools, Theory & Neural Coding
B81	Topographic constraints shape brain-like component structure in auditory models	Haider Al-Tahan	Auditory, Speech & Language Processing
E98	Toward a Shared Sensorimotor Language: Affordances in a Global Workspace	Yusuf Helal	Computational Models of Vision & Visual Cortex
D91	Towards a minimal model of early phonetic learning	Thibault Schneeberger	Auditory, Speech & Language Processing
E13	Towards Inference of Hidden Causes with Assemblies	Max Dabagia	Methods, Tools, Theory & Neural Coding
E88	Towards Modeling Recurrence in Biological Vision with Recurrent Vision Transformers	Brian S Robinson	Computational Models of Vision & Visual Cortex
F31	Trace-Mediated Peak Bias: Bridging Temporal Credit Assignment and Cognitive Heuristics in Deep Reinforcement Learning	Viktor Veselý	Methods, Tools, Theory & Neural Coding
F55	Trading Generalization for Working Memory Capacity in Neural Network Representations	Jonathan König	Memory, Learning & Knowledge Structures
D81	Transformers capture individual differences in reinforcement learning via in-context learning	Jacob Russin	Memory, Learning & Knowledge Structures
E25	Transitivity can redeem the reversal curse in attention models	Yedi Zhang	Methods, Tools, Theory & Neural Coding
C30	Trapped in planning: a computational study of episodic memory-guided decision making	Ming Bo Cai	Decision-Making, Cognitive Control & Event Cognition
F13	Two Cortical Mechanisms for Natural Audiovisual Processing	Subha Nawer Pushpita	Methods, Tools, Theory & Neural Coding
D74	Two-state dynamics structure working memory in the human medial temporal lobe	Zelin Yu	Memory, Learning & Knowledge Structures
D15	UMBRELLA: A Foundation Framework for High-Dimensional Neuroimaging via Multi-turn Comparative Learning	Heehwan Wang	Methods, Tools, Theory & Neural Coding
F51	Unable to Forget: Proactive Interference Reveals Working Memory Limits in Large Language Models	Jiaqiu Vince Sun	Memory, Learning & Knowledge Structures
D78	Uncertainty minimization generates hippocampus-like dynamics in learning and prediction signals in statistical learning	Pieter Barkema	Memory, Learning & Knowledge Structures
A35	Uncovering Multi-Regional Inputs Using Input-Driven Switching Recurrent Neural Networks	Yongxu Zhang	Methods, Tools, Theory & Neural Coding
F60	Understanding explicit sensorimotor learning as a process of hypothesis testing	Anjuli Niyogi	Memory, Learning & Knowledge Structures
A96	Unifying discrimination and generation in one architecture	Imran Thobani	Computational Models of Vision & Visual Cortex
E86	Unifying Gestalt Principles of Perceptual Organization Through Feedback-Mediated Learned Prior Integration	Tahereh Toosi	Computational Models of Vision & Visual Cortex
D43	Univariate and Multivariate ERP Signatures of Division Verification in Adolescents: Evidence for N400-LPC Effects	Mannu Brahmi	Development, Individual Differences & Clinical Populations
F24	Universal and idiosyncratic dimensions in vision and language models	Johannes Singer	Methods, Tools, Theory & Neural Coding
A80	Unlearnability of Symmetry-based Visual Relations by Deep Neural Networks	Guillermo Puebla	Computational Models of Vision & Visual Cortex
B30	Unsupervised learning of human-interpretable and task-relevant visual features from very little data	Ananya Passi	Methods, Tools, Theory & Neural Coding
D46	Using AI-generated videos to investigate the roles of attribution and impressions in clinical outcomes	Zizhuang Miao	Development, Individual Differences & Clinical Populations
B84	Using Deep Neural Networks To Model The Relationship Between Internal Visual Representations And Aesthetic Appeal	Karen A Wahba	Computational Models of Vision & Visual Cortex
D61	Using deep reinforcement learning to reveal neural representations of exploration	Tamir Scherf	Decision-Making, Cognitive Control & Event Cognition
A72	Using Motion-guided Foveation to Improve Physical Prediction in Latent Representation Video Models	Xiangzhou Sun	Computational Models of Vision & Visual Cortex
D49	Using recurrent neural networks to examine sequential effects in risky choice	Ziheng Feng	Decision-Making, Cognitive Control & Event Cognition
B74	Using Transformer Attention to Assess How Temporal Integration in Music Relates to Aesthetic Pleasure	Edward A Vessel	Auditory, Speech & Language Processing
A44	Variability in Young Children's Everyday Visual Experiences of Object Categories	Jane Yang	Development, Individual Differences & Clinical Populations
F80	VAST: Visual Abstractions as Streams of Thought	Khai Loong Aw	Computational Models of Vision & Visual Cortex
B44	Vision Models Capture Complementary Representations in Children That Converge in Adults	Domenic Bersch	Development, Individual Differences & Clinical Populations
B33	Visual and Auditory Deep Learning Models Capture Neural Representations of Naturalistic Social Interaction in the Superior Temporal Sulcus	Itai peleg	Methods, Tools, Theory & Neural Coding
B23	What Does the Global Latent Workspace Learn?	Sixuan Chen	Methods, Tools, Theory & Neural Coding
A46	What Makes a Category Memorable? Human Conceptual Diversity Outpredicts Perceptual Similarity and Deep Neural Networks	Dyllan Simpson	Memory, Learning & Knowledge Structures
A66	When the Whole Shapes the Parts: Local-Global Interactions in Auditory Perception	Berfin Bastug	Auditory, Speech & Language Processing
E12	Which model better predicts brain-behavior relationships during decision-making? A simulation-based comparison of single-trial directed and integrative drift-diffusion models	Michael Nunez	Methods, Tools, Theory & Neural Coding
C27	Will, Won’t, Want, and Wont: A Reinforcement Learning Model of Self-control	Sahiti Chebolu	Decision-Making, Cognitive Control & Event Cognition
C74	Word Meaning, not Co-occurrence Statistics, is Essential for Predictive Speech Processing	Andrey Zyryanov	Auditory, Speech & Language Processing