All Posters

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

Poster	Title	Presenter	Topic Area
	Learning from depth alone yields strong, shape-based object recognition and alignment with high-level visual cortex	Zejin Lu	Computational Models of Vision & Visual Cortex
	Quantifying Entrainment Evidence: A Comparison of Frequentist and Bayesian Approaches for Information Processing Pathway Maps	Kaibo Zhang	Methods, Tools, Theory & Neural Coding
	Dynamical Neural Model of Establishing Perception-Action Coupling through Hebbian Learning	Xinrui Jiang	Methods, Tools, Theory & Neural Coding
F	Neural Footprints: Variance-Based Methods Systematically Miss High-Level Representations	Jon Gauthier	Methods, Tools, Theory & Neural Coding
F	The Wisdom of a Crowd of Brains: A Universal Brain Encoder	navve wasserman	Methods, Tools, Theory & Neural Coding
F	Multimodal Scaling Laws for Task & Data-Optimized Models of Visual Cortex	Abdulkadir Gokce	Computational Models of Vision & Visual Cortex
F	Shared neural circuits for brain-wide nonstationary dynamics	Adam Shabti Charles	Methods, Tools, Theory & Neural Coding
F	Processing the Unexpected: Contributions of Multiple Semantic Dimensions	Harshada Vinaya	Auditory, Speech & Language Processing
F	Linear spectrotemporal tuning accounts for much of phonetic feature encoding in the human auditory cortex	Krish G. Patel	Auditory, Speech & Language Processing
F	An Algorithmic Account of Few-Shot Concept Induction in Language Models	Zhuonan Yang	Auditory, Speech & Language Processing
F	Aligning the Brain with Language Models Through a Nonlinear and Multimodal Approach	Danny Dongyeop Han	Auditory, Speech & Language Processing
F	Evaluating spatial perception in humans and machines	Nathan Kong	Computational Models of Vision & Visual Cortex
F	Model-based Characterization of the Lateral Visual Stream	Yingtian Tang	Computational Models of Vision & Visual Cortex
F	Temporal Prediction Produces Viewpoint-Consistent, Human-Aligned Vision in DNNs	Peisen Zhou	Computational Models of Vision & Visual Cortex
F	Divergent effects of hierarchical perceptual features on confidence in humans and deep neural networks	Yunpeng Liu	Computational Models of Vision & Visual Cortex
F	Dissociating spatial frequency reliance from adversarial robustness advantages in neurally guided deep convolutional neural networks	Zhenan Shao	Computational Models of Vision & Visual Cortex
F	VAST: Visual Abstractions as Streams of Thought	Khai Loong Aw	Computational Models of Vision & Visual Cortex
F	Different Features Shape Category Selectivity in Human Visual Cortex and Deep Neural Networks	Leonard E van Dyck	Computational Models of Vision & Visual Cortex
F	Task-specific scene semantics from language predicts human gaze in navigation and visual search	Michelle R. Greene	Computational Models of Vision & Visual Cortex
F	Learning long-range spatial dependencies with spectral convolutional state space models	Grégoire DHIMOÏLA	Computational Models of Vision & Visual Cortex
F	Predicting Detail from Blur Enables Learning of Robust Visual Representations	Akihito Maruya	Computational Models of Vision & Visual Cortex
F	Functionally specialized units reflect readout pathways rather than distinct feature encoding in artificial neural networks	Zhengqing Miao	Computational Models of Vision & Visual Cortex
F	QualiaNet: An Experience-Before-Inference Network	Paul Linton	Computational Models of Vision & Visual Cortex
F	Spatial Attention Enhances Figure-Ground Modulation in Human Early Visual Cortex	Emil Olsson	Computational Models of Vision & Visual Cortex
F	Perception as Phase-Based Dynamics over Competing Interpretations	Seoyoung Ahn	Computational Models of Vision & Visual Cortex
F	Probing the Timescale of Conscious Vision	Richard O'Farrell	Computational Models of Vision & Visual Cortex
F	Predictive learning explains emergence of objects in infants	Alekh Karkada Ashok	Computational Models of Vision & Visual Cortex
F	Affective Factors Predict Selective Attention in Vision-Language Models	Michael Zhu	Computational Models of Vision & Visual Cortex
F	Perceiving Object Motion with Shadow Cues	Reuben McNair	Computational Models of Vision & Visual Cortex
F	Task-irrelevant physical effort exertion boosts arousal and facilitates latent state update	Haoxue Fan	Decision-Making, Cognitive Control & Event Cognition
F	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
F	Self-paced rest decisions: stable but ineffective for recovery	Nastasia Klevak	Decision-Making, Cognitive Control & Event Cognition
F	Adaptive distortions of confidence reflect environmental statistics and internal constraints	Shiyi Cao	Decision-Making, Cognitive Control & Event Cognition
F	Neural Signatures of Evidence Accumulation in Continuous Estimation	Klaus Wimmer	Decision-Making, Cognitive Control & Event Cognition
F	Blame via Inverse Reinforcement Learning	Eivinas Butkus	Decision-Making, Cognitive Control & Event Cognition
F	Impaired decision-making from intrinsic epileptiform disruption of human brain activity	Niloufar Shahdoust	Decision-Making, Cognitive Control & Event Cognition
F	Flexible brain network flow rerouting from stimulus to response during rapid instructed task learning	Arun Aryal	Decision-Making, Cognitive Control & Event Cognition
F	Long-lasting working memory emerges from the dynamics of hierarchical neural assemblies	Merav Stern	Memory, Learning & Knowledge Structures
F	Unable to Forget: Proactive Interference Reveals Working Memory Limits in Large Language Models	Jiaqiu Vince Sun	Memory, Learning & Knowledge Structures
F	Human Hippocampal Neurons Track Latent Social Position	Gelana Tostaeva	Memory, Learning & Knowledge Structures
F	Shared neural geometries for bilingual semantic and grammatical representations in human hippocampal neurons	Xinyuan Yan	Memory, Learning & Knowledge Structures
F	Multistep representation of social networks in LLMs	Daniel L. Carstensen	Memory, Learning & Knowledge Structures
F	Trading Generalization for Working Memory Capacity in Neural Network Representations	Jonathan König	Memory, Learning & Knowledge Structures
F	Human early visual cortex represents high-level visual features during recall	Futing Zou	Memory, Learning & Knowledge Structures
F	How do Deep Learning Models and Humans Continually Learn?	Anirudh Doppalapudi	Memory, Learning & Knowledge Structures
F	Automated Discovery of Cognitive Collaboration Dynamics	Huang Ham	Memory, Learning & Knowledge Structures
F	The cost of alternative actions: counterfactual false memories	Maia Juliet Armstrong	Memory, Learning & Knowledge Structures
F	Understanding explicit sensorimotor learning as a process of hypothesis testing	Anjuli Niyogi	Memory, Learning & Knowledge Structures
F	How the Brain Can Build on Prior Learning: A Model and a Supporting Experiment	Lillian Chang	Memory, Learning & Knowledge Structures
F	HOLMES: Hierarchical Online Learning of Multiscale Experience Structure	Ines Aitsahalia	Memory, Learning & Knowledge Structures
F	Planning and remembering in partially observable settings	Ryan Fayyazi	Memory, Learning & Knowledge Structures
F	Rule learning distorts memory for pre-learning decisions	Matan Mazor	Memory, Learning & Knowledge Structures
F	Geometric Context Distorts Visual Spatial Working Memory	Dongwook Lim	Memory, Learning & Knowledge Structures
F	A neural network with key-value episodic memory retrieves and organizes memories based on causal event structure	Hayoung Song	Memory, Learning & Knowledge Structures
F	Flexible remapping of working memory across gaze shifts	Deepak V Raya	Memory, Learning & Knowledge Structures
F	A Novel Paradigm for Examining Social Influences on Neural Representations Guiding Memory	Kahini Mehta	Memory, Learning & Knowledge Structures
F	Classification of Strategies in Reversal Learning Tasks Using a Mixture Model	Daniel Janko	Memory, Learning & Knowledge Structures
F	Conserved Kinematic Representations enable Zero-Shot Decoding in Handwriting BCIs	Virginia R. de Sa	Methods, Tools, Theory & Neural Coding
F	Peptide-mediated timescale separation underlies Bayesian causal inference during multisensory integration	Madeleine C Snyder	Methods, Tools, Theory & Neural Coding
F	Computational Natural Language Analysis Reveals Psilocybin-Induced Changes in Meaning-Making	Caitlin Rooney	Methods, Tools, Theory & Neural Coding
F	From Interaction to Abstraction: Using Human Behavior and Brain Activity to Evaluate How AI Systems Learn Games	Sreejan Kumar	Methods, Tools, Theory & Neural Coding
F	An Analysis of Neuroidal Memory Formation within D. melanogaster	Patrick Riley Perrine	Methods, Tools, Theory & Neural Coding
F	A Fundamental Tradeoff between Computational Flexibility and Spiking Variability in Recurrent Neural Networks	Zachary Loschinskey	Methods, Tools, Theory & Neural Coding
F	A model-based alternative to cluster-based permutation tests for the analysis of time-resolved data	Ladislas Nalborczyk	Methods, Tools, Theory & Neural Coding
F	BCI-induced Dynamic Shifts of Valence Representations in the Primate Amygdala	Shaked Emily Leibovitz	Methods, Tools, Theory & Neural Coding
F	Neural computation for prediction in noisy, unknown environments	Jacopo Epifanio	Methods, Tools, Theory & Neural Coding
F	Two Cortical Mechanisms for Natural Audiovisual Processing	Subha Nawer Pushpita	Methods, Tools, Theory & Neural Coding
F	Discovering Functionally Selective Brain Regions with a Deep Topographic Multimodal Model	Badr AlKhamissi	Methods, Tools, Theory & Neural Coding
F	Discovering interpretable visual representations at scale	Habon Issa	Methods, Tools, Theory & Neural Coding
F	fMRIflow: A Modular, Web-Based Framework for Voxelwise Encoding Models	Omar Sherif	Methods, Tools, Theory & Neural Coding
F	Automated recall-to-story matching for memory research	Dhruva Arekar	Methods, Tools, Theory & Neural Coding
F	Evaluating Bayesian Representational Similarity Measures between Neural Networks	Sezan Oral	Methods, Tools, Theory & Neural Coding
F	A Modular Framework for Embedding Brain-like Topology in Recurrent Neural Networks	Maroš Rovný	Methods, Tools, Theory & Neural Coding
F	A Geometric Foundation for Semantic Relations in the Brain	Hanlin Zhu	Methods, Tools, Theory & Neural Coding
F	Neural Prediction Decorrelation in Human Auditory Cortex	David Skrill	Methods, Tools, Theory & Neural Coding
F	Fine-Grained Emotion Structure in the Brain-Aligned Subspace of a Self-Supervised Video Model	Seokjin Moon	Methods, Tools, Theory & Neural Coding
F	Stable endogenous brain–body dynamics dominate cortical activity during naturalistic cognition	Jens Madsen	Methods, Tools, Theory & Neural Coding
F	Universal and idiosyncratic dimensions in vision and language models	Johannes Singer	Methods, Tools, Theory & Neural Coding
F	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
F	Balancing the brain: Criticality supports flexibility while task engagement drives deviation from criticality	Li Xin Lim	Methods, Tools, Theory & Neural Coding
F	Adversarial construction for efficient experiment design in large task-spaces	Prakhar Godara	Methods, Tools, Theory & Neural Coding
F	Biologically Constrained Heterogeneity: Hybrid Spiking-Nonspiking Connectome-Constrained Models	Nalini Ramanathan	Methods, Tools, Theory & Neural Coding
F	Continual learning and forgetting as drivers of representational drift	Chattarin Poungtubtim	Methods, Tools, Theory & Neural Coding
F	The Geometry of Drifting Spatial Representations	Yile Wang	Methods, Tools, Theory & Neural Coding
F	Trace-Mediated Peak Bias: Bridging Temporal Credit Assignment and Cognitive Heuristics in Deep Reinforcement Learning	Viktor Veselý	Methods, Tools, Theory & Neural Coding
F	LieCAN: Neural attractor networks that perform real-world pose representation and path integration	Deven Shidfar	Methods, Tools, Theory & Neural Coding
F	A thalamocortical RNN architecture for flexible and robust motor sequencing	Abhijnana Das	Methods, Tools, Theory & Neural Coding
F	The Architecture of Cortical Timing: From Local Clustering to Global Hierarchies	Sara Varetti	Methods, Tools, Theory & Neural Coding
F	Escape Response Reveals Computations Of Network Robustness	Mili Patel	Methods, Tools, Theory & Neural Coding
F	Behavioral Automaticity Triggered by Stimulus-Driven Reactivation of Functional Connections	Ruben Sanchez-Romero	Methods, Tools, Theory & Neural Coding
F	Discovering efficient maps for navigating a reconfigurable 3D environment	Tzuhsuan Ma	Methods, Tools, Theory & Neural Coding
F	Testing the Bayesian Confidence Hypothesis: Model Space, Linking Hypothesis and Empirical Fit	Xinyi Yuan	Methods, Tools, Theory & Neural Coding
F	Bridging Encoding to Decoding: Synthetic fMRI from Brain Foundation Models Improves Neural Decoding	Zhejun Zhang	Methods, Tools, Theory & Neural Coding
F	Representational Neighborhoods and Multi-Agent Optimization for Creative Concept Combination in Large Language Models	Manikya Venkata Gnaneswar Villuri	Methods, Tools, Theory & Neural Coding
F	Metabolic cost of information processing in Poisson variational autoencoders	Hadi Vafaii	Methods, Tools, Theory & Neural Coding
E	Memory Subspaces for Temporal Locations Across Timescales in the Monkey Precuneus	Sze Chai Kwok	Memory, Learning & Knowledge Structures
E	Lateral Recurrence as a Domain-Selective Mechanism	Amirhossein Farzmahdi	Computational Models of Vision & Visual Cortex
E	Eccentricity-Constrained CNN Training Reveals Adaptive Information Coding Around the Visual Field	Dylan Matthew Diaz	Computational Models of Vision & Visual Cortex
E	Data Diversity Drives the Emergence of Symbolic Mechanisms in LLMs	Melody Zixuan Li	Methods, Tools, Theory & Neural Coding
E	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
E	Neural priority maps encode behavioral relevance independently across multiple attended locations	Amelia H. Harrison	Computational Models of Vision & Visual Cortex
E	Temporal Dynamics of Spatial Frequencies in Visual Word, Object, and Place Recognition	Clémence Bertrand Pilon	Computational Models of Vision & Visual Cortex
E	Emergent mid-level visual representations from a developmentally inspired contrast sensitivity curriculum	Chelsea B. Kim	Computational Models of Vision & Visual Cortex
E	Emergent Eye Movements for Scene Understanding in a Model of Ventral and Dorsal Visual Processing	Alexander Kroner	Computational Models of Vision & Visual Cortex
E	During natural vision, semantic novelty modulates fixation-related processing in primate cortex	Vinay S Raghavan	Computational Models of Vision & Visual Cortex
E	Unifying Gestalt Principles of Perceptual Organization Through Feedback-Mediated Learned Prior Integration	Tahereh Toosi	Computational Models of Vision & Visual Cortex
E	Graded Representation of Feature Salience in Neural Feature Dimension Maps	Daniel Thayer	Computational Models of Vision & Visual Cortex
E	Towards Modeling Recurrence in Biological Vision with Recurrent Vision Transformers	Brian S Robinson	Computational Models of Vision & Visual Cortex
E	State-Dependent Organization of Microscale Functional Circuitry in Mouse Visual Cortex	Rahul Biswas	Computational Models of Vision & Visual Cortex
E	The Latent Dimensions Supporting Dynamic Social Scene Perception	Kathy Garcia	Computational Models of Vision & Visual Cortex
E	A deeper look into occlusion types and their impacts on object recognition models	Courtney M King	Computational Models of Vision & Visual Cortex
E	Evidence for Object-centric Association Fields in Human Visual Cortex	Hossein Adeli	Computational Models of Vision & Visual Cortex
E	Scaling Behavioral Probes of Face Processing: Inversion and Thatcher Effects in Deep Networks	Srijani Saha	Computational Models of Vision & Visual Cortex
E	Geometric Constraints in the Development of Primate Extrastriate Visual Cortex	Hyunju Kim	Computational Models of Vision & Visual Cortex
E	Local Texture Statistics are Sufficient for Category-level Contingent Capture	Yuhan Shi	Computational Models of Vision & Visual Cortex
E	Diffusion-Based Stimulus Optimization Reveals Fine-Grained Feature Selectivity in Human Early Visual Cortex	Junru Zhao	Computational Models of Vision & Visual Cortex
E	Performance Matters More Than You Think: A Saturation-Effect Resolution to the Predictivity Debate	Khaled Jedoui Al-Karkari	Computational Models of Vision & Visual Cortex
E	Toward a Shared Sensorimotor Language: Affordances in a Global Workspace	Yusuf Helal	Computational Models of Vision & Visual Cortex
E	Reading & Writing Visual Cortex: Sparse Autoencoders as a Semantic Interface to the Brain	Mario Serrafero	Computational Models of Vision & Visual Cortex
E	Geometric Dynamics Across Recurrent Vision Models	Kexin Cindy Luo	Computational Models of Vision & Visual Cortex
E	Learning to select computations in recurrent circuits	Sixing Chen	Decision-Making, Cognitive Control & Event Cognition
E	General Oscillations Theory Reveals Propagation Dynamics at Event Boundaries in Naturalistic Viewing	Eunhee Ji	Decision-Making, Cognitive Control & Event Cognition
E	Balancing forward and backward reasoning, by studying the Gadget Game	Katherine M. Collins	Decision-Making, Cognitive Control & Event Cognition
E	Reading Upper Body Movements Improves Prediction and Limits Deception in a Competitive Reaching Task	Anna Filina	Decision-Making, Cognitive Control & Event Cognition
E	Low-Rank Temporal Factorization of Drift-Diffusion Dynamics Reveals Staged Evidence Integration	JINGMING XUE	Decision-Making, Cognitive Control & Event Cognition
E	Neural signatures of event prediction in novel videos	Caroline Lee	Decision-Making, Cognitive Control & Event Cognition
E	Large Language Models Infer Hidden Preferences from Gaze but Fail to Exploit Response Times	Mrugsen Nagsen Gopnarayan	Decision-Making, Cognitive Control & Event Cognition
E	Human and LLM Alignment in Causal Reasoning for Narrative Events	Xian Li	Decision-Making, Cognitive Control & Event Cognition
E	Dissecting Thalamic Uncertainty Management with Transcranial Ultrasound Stimulation	Julian Q. Kosciessa	Decision-Making, Cognitive Control & Event Cognition
E	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
E	Attentional Strategies in Social Coordination	Bonnie Yang	Decision-Making, Cognitive Control & Event Cognition
E	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
E	Perceptual Consciousness Facilitates Model-based Decision Making	Chang Christina He	Decision-Making, Cognitive Control & Event Cognition
E	Building a model of infant development using experience, brain, and behavior	Cliona O'Doherty	Development, Individual Differences & Clinical Populations
E	From Empirical to Simulated Brains: Using Digital Twin Models to Identify Therapeutic Targets in MCI	Jinyu Wang	Development, Individual Differences & Clinical Populations
E	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
E	Normative modelling characterises individual brain heterogeneity and improves cognitive prediction in chronic moderate-severe traumatic brain injury	Gavin Gan	Development, Individual Differences & Clinical Populations
E	Different cognitive phenotypes in multi-level learning	Silke Boulanger	Development, Individual Differences & Clinical Populations
E	Feedback Salience Differentially Affects Decision Strategies but Homogenizes Neuronal Responses in Autism and Neurotypical Individuals	Jaroslav Slobodskoy-Plusnin	Development, Individual Differences & Clinical Populations
E	A developmentally retained top-heavy bias for face perception in the adult pulvinar	Xinyi Tang	Development, Individual Differences & Clinical Populations
E	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
E	Discovering Online and Offline Processing via Meta-Learning	Zhenglong Zhou	Memory, Learning & Knowledge Structures
E	Evidence for Efficient Coding of Naturalistic Images in Visual Short-Term Memory	Kristin M. Dang	Memory, Learning & Knowledge Structures
E	Dynamics and generalization in kernel models of category learning	Matteo Alleman	Memory, Learning & Knowledge Structures
E	Hippocampal representations of temporal context during visual statistical learning	Wei Tang	Memory, Learning & Knowledge Structures
E	Simulating hippocampal-mPFC interactions with a mixture-of-experts model	Dhairyya Singh	Memory, Learning & Knowledge Structures
E	Intentional Visual Framing as Attentional Scaffolding: Challenging the Photo-taking Impairment Effect	Olesia Boiko	Memory, Learning & Knowledge Structures
E	Memory Consolidation sharpens fine-grained structural representations in auditory sequence learning	Xiaoyue Zhou	Memory, Learning & Knowledge Structures
E	Hippocampal map-like knowledge transfer between spatial and abstract domains	Raphael Kaplan	Memory, Learning & Knowledge Structures
E	Complementary model-free and model-based motor learning systems unify experimental results across scales and species	Laureline Logiaco	Memory, Learning & Knowledge Structures
E	Multi-regional neural network models capture distributed working memory representations in human fMRI	Eun Tack Cho	Memory, Learning & Knowledge Structures
E	Interleaved Learning Blurs Both Direct and Indirect Associative Memory	Alexander Gordienko	Memory, Learning & Knowledge Structures
E	Learning Mental Models Under Unreliable Evidence	Jeffrey Qin	Memory, Learning & Knowledge Structures
E	The hippocampus represents abstract graph structure at multiple scales along its longitudinal axis	Valerio Rubino	Memory, Learning & Knowledge Structures
E	How Are Continuous Motor Skills Learned and Represented	Maoxin Xia	Memory, Learning & Knowledge Structures
E	Neural Encoding and Reinstatement of Multimodal Information during Naturalistic Viewing	Jixing Li	Memory, Learning & Knowledge Structures
E	Replay Supports Both Future and Immediate Decisions by Updating a Successor Representation	Shuheng Guo	Memory, Learning & Knowledge Structures
E	Predictive Latent Simulation as a Memory Retrieval Mechanism	Yunzhe XU	Memory, Learning & Knowledge Structures
E	Measuring the Representational Alignment of Neural Systems in Superposition	David Klindt	Methods, Tools, Theory & Neural Coding
E	Theory of Mind Improves Multi-Agent Coordination: Accuracy Thresholds and Active Inference	William Beaumaster	Methods, Tools, Theory & Neural Coding
E	Moving beyond the stimulus to encode subjective narrative experience in the human brain	Sushmita Sadhukha	Methods, Tools, Theory & Neural Coding
E	Behavior and Autonomic Physiology Characterize Brain State Dynamics During Naturalistic Gameplay	Yibei Chen	Methods, Tools, Theory & Neural Coding
E	Neural coding of complex behavior in humans: from widespread engagement to microtask tuning	Yingxi Jin	Methods, Tools, Theory & Neural Coding
E	Recent Trial History Improves Encoding Models of Brain Responses During Emotional Video Viewing	Shuzo Naruse	Methods, Tools, Theory & Neural Coding
E	Brain-Tuning Language Models on Task fMRI	Yujin Yun	Methods, Tools, Theory & Neural Coding
E	Integrated Representational Signatures Strengthen Specificity in Brains and Models	Jialin Wu	Methods, Tools, Theory & Neural Coding
E	Partitioning Signal and Noise (PSN): A modality-general denoising technique for neural responses	Jacob S. Prince	Methods, Tools, Theory & Neural Coding
E	Think-Aloud Reshapes Automated Cognitive Model Discovery Beyond Behavior	Hanbo Xie	Methods, Tools, Theory & Neural Coding
E	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
E	Towards Inference of Hidden Causes with Assemblies	Max Dabagia	Methods, Tools, Theory & Neural Coding
E	A Reproducibility Framework for Subject-Level Alzheimer’s Decoding	Adel Sahuc	Methods, Tools, Theory & Neural Coding
E	A parametric guidance law model of hunting in mice	Daniel Pollak	Methods, Tools, Theory & Neural Coding
E	Identifying Multimodal-Specific Regions with Naturalistic Stimuli Using a Contrastively-Trained Neural Network	Yixing Wang	Methods, Tools, Theory & Neural Coding
E	The Right STS Responds Preferentially to Communicative Signals	Emalie McMahon	Methods, Tools, Theory & Neural Coding
E	Multimodal Transformer Brain Encoder Captures fMRI Responses during Naturalistic Video Viewing	Pinyuan Feng	Methods, Tools, Theory & Neural Coding
E	Cortical gradient of signal-noise subspace alignment	Tomoya Nakamura	Methods, Tools, Theory & Neural Coding
E	Making implicit assumptions of predictive processing explicit	Alejandro Tabas	Methods, Tools, Theory & Neural Coding
E	Collision Avoidance and Food Distributions Shape Collective Fish Behavior	Nathan Wu	Methods, Tools, Theory & Neural Coding
E	Reused representations and connectivity drive compositional generalization	Iman A. Wahle	Methods, Tools, Theory & Neural Coding
E	Data symmetries can confound representational similarity analyses	Farhad Pashakhanloo	Methods, Tools, Theory & Neural Coding
E	Flexible inference of history-dependent learning rules in de novo learning	Yuhan Helena Liu	Methods, Tools, Theory & Neural Coding
E	Transitivity can redeem the reversal curse in attention models	Yedi Zhang	Methods, Tools, Theory & Neural Coding
E	Bayesian calibration for conference reviews	Harrison Ritz	Methods, Tools, Theory & Neural Coding
E	Minds as machines: Evaluating utility and plausibility	Nelu D. Radpour	Methods, Tools, Theory & Neural Coding
E	Belief Filtering: Meta-inference of Internal Models	Aniruddh R Galgali	Methods, Tools, Theory & Neural Coding
E	Topographic constraints drive the emergence of grid-cell center-surround connectivity in path-integrating networks	Navneet Prakash	Methods, Tools, Theory & Neural Coding
E	Human Attention During Localization of Memory Bugs in C Programs	Emory Michaels	Methods, Tools, Theory & Neural Coding
E	Representational drift dominates cross-session decoder degradation in mouse primary visual cortex	Santiago Tobio	Methods, Tools, Theory & Neural Coding
E	Common Representation Similarity Metrics Have Dimension-Free Error Bounds	Shujun Xiong	Methods, Tools, Theory & Neural Coding
E	HyperBrain-Sparta: A functional template for the human brain	Ma Feilong	Methods, Tools, Theory & Neural Coding
E	Can Human Perceptual Similarity Alignment Improve Interpretability in Visual Representations?	Julien Colin	Methods, Tools, Theory & Neural Coding
E	Decoding Second-Language Proficiency from Shared Network Representations Using PCA and ICA	Onila R. N. M. Don	Methods, Tools, Theory & Neural Coding
E	Process-Level Evaluation of Social Inference in LLMs	Elif Akata	Methods, Tools, Theory & Neural Coding
E	Dissociable temporal sequence-processing deficits from interneuron-specific perturbations in a cortical microcircuit model	Rebeca Ianov-Vitanov	Methods, Tools, Theory & Neural Coding
E	Revealing core representational axes of neural networks through learning dynamics and brain alignment	Zirui Chen	Methods, Tools, Theory & Neural Coding
D	From Impulsivity to Engagement: Latent Behavioral States Reveal Distinct Decision Strategies in Rats	Aya Akhmetzhanova	Decision-Making, Cognitive Control & Event Cognition
D	Spatial Structure Facilitates Category Learning through Structured Representations	Michelle B. Hefner	Memory, Learning & Knowledge Structures
D	Looking at nothing during deliberation reflects optimal sampling from episodic memory	Jonathan Nicholas	Memory, Learning & Knowledge Structures
D	A Nonlocal Variational Framework for Optimal Neural Representations	Gengshuo John Tian	Methods, Tools, Theory & Neural Coding
D	Hyperalignment Reveals Shared Information in Monkeys’ Idiosyncratic Fine-Grained Movie fMRI Patterns	Yuqi Zhang	Methods, Tools, Theory & Neural Coding
D	Invariant correlation: a general and straightforward method to quantify invariance in time-varying neural signals	Jarrod M. Hicks	Methods, Tools, Theory & Neural Coding
D	Distinct Computational Pathways to Persistent Fear Across Development	Camilla van Geen	Development, Individual Differences & Clinical Populations
D	Localizing excitation-inhibition imbalance in schizophrenia with virtual brains informed by white-matter microstructure	Kailin Zhu	Development, Individual Differences & Clinical Populations
D	The developmental trajectory of temporal dynamics in human visual representations	Chun-Hui Li	Development, Individual Differences & Clinical Populations
D	Comparing Human and Machine Communication Patterns Through a Tangram Game	Haoran Zhao	Auditory, Speech & Language Processing
D	Towards a minimal model of early phonetic learning	Thibault Schneeberger	Auditory, Speech & Language Processing
D	Perceptual Distance from a Deep Neural Network (DNN) Predicts Human Brain Response to Foreign Accented Speech	Shang-En Huang	Auditory, Speech & Language Processing
D	Causal Multiscale Models of Temporally Resolved Auditory Processing in Human Cortex	Tonio Weidler	Auditory, Speech & Language Processing
D	A Unified Speech-to-Text-to-Speech Encoding Model for Natural Conversations	Haocheng Wang	Auditory, Speech & Language Processing
D	Beyond Averages: Identifying Latent Behavioral Strategies in Approach–Avoidance Conflict Using Probabilistic Clustering	Dominik Endres	Decision-Making, Cognitive Control & Event Cognition
D	Using recurrent neural networks to examine sequential effects in risky choice	Ziheng Feng	Decision-Making, Cognitive Control & Event Cognition
D	Representation learning and choice in naturalistically complex environments	Dale Zhou	Decision-Making, Cognitive Control & Event Cognition
D	Cinematic Cuts Reshape Neural Event Boundaries: Individual-Level Evidence From Naturalistic Movie Viewing	Alex Ye	Decision-Making, Cognitive Control & Event Cognition
D	Temporal Processing during Decision-Making under Uncertainty	Rikki Rabinovich	Decision-Making, Cognitive Control & Event Cognition
D	Characterizing time-varying effects of evidence volatility on perceptual confidence	Yuzheng Wu	Decision-Making, Cognitive Control & Event Cognition
D	Slow reasoning can reflect pressure to minimize information processing costs	Nicholas Fagan	Decision-Making, Cognitive Control & Event Cognition
D	Computational Modeling of Stop Processes Captures Violations in Response Inhibition	Eunseo Oh	Decision-Making, Cognitive Control & Event Cognition
D	Human medial-frontal neurons integrate language and vision to structure decision-making	Tomas Aquino	Decision-Making, Cognitive Control & Event Cognition
D	An Optimal Compression Principle for Event Segmentation and Encoding	Isaac Ashkenazi	Decision-Making, Cognitive Control & Event Cognition
D	Beyond Sensory Summation: How Expectations and Sensory Evidence Shape Multisensory Perception	Elizaveta Sycheva	Decision-Making, Cognitive Control & Event Cognition
D	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
D	Determinants of relative value coding in artificial and biological networks	Kenway Louie	Decision-Making, Cognitive Control & Event Cognition
D	Using deep reinforcement learning to reveal neural representations of exploration	Tamir Scherf	Decision-Making, Cognitive Control & Event Cognition
D	Loss-calibrated attention in a neural sampling model of perceptual decision-making	Khayla Black	Decision-Making, Cognitive Control & Event Cognition
D	A probabilistic model for context-dependent interval discrimination in mouse	Farzaneh Najafi	Decision-Making, Cognitive Control & Event Cognition
D	Coffee or Date? A Bayesian account of Indirect Disclosure in High-Stakes Social Interactions	Victor Btesh	Decision-Making, Cognitive Control & Event Cognition
D	Parallel biases in affective reactivity and learning from counterfactual feedback	Karen Chen	Decision-Making, Cognitive Control & Event Cognition
D	Distributed and Flexible Goal Representations in Human Cortex for Adaptive Behaviour	Pinar Göktepe-Kavis	Decision-Making, Cognitive Control & Event Cognition
D	From Clicks to Conflict: A Computational Study of Approach-Avoidance Conflict Task Engagement	Franziska Usée	Decision-Making, Cognitive Control & Event Cognition
D	Slow Update of Motor Plans in Autism is Associated with Reduced ACC Activation	Keren Kasten	Development, Individual Differences & Clinical Populations
D	Semantic Drivers of Gaze in Individuals With and Without Autism During Dyadic Conversation	Katerina M Simkova	Development, Individual Differences & Clinical Populations
D	Accurate and Interpretable Prediction of Antidepressant Treatment Response from Receptor-informed Neuroimaging	Hanna M. Tolle	Development, Individual Differences & Clinical Populations
D	An adaptive role for anhedonia following early-life unpredictability	Yifan Zhang	Development, Individual Differences & Clinical Populations
D	Intra- and Inter-Regional Neural Excitation Model Identifies Age-Related Effects	Yeongjun Park	Development, Individual Differences & Clinical Populations
D	Interleukin-6 Trans-Signaling as the Primary Cytokine Mechanism Linking Urinary Tract Inflammation to Cognitive Dysfunction	Saket Ram Ganti	Development, Individual Differences & Clinical Populations
D	Neural signatures of impaired semantic contextualization in Autism Spectrum Disorder	Melissa Franch	Development, Individual Differences & Clinical Populations
D	Neuroticism contributes to cognitive decline and Alzheimer’s disease through dysregulation of excitatory neurons	Sneha Sharma	Development, Individual Differences & Clinical Populations
D	Univariate and Multivariate ERP Signatures of Division Verification in Adolescents: Evidence for N400-LPC Effects	Mannu Brahmi	Development, Individual Differences & Clinical Populations
D	Overgeneralization Emerges from Latent Cause Inference	Raphael Yamamoto	Development, Individual Differences & Clinical Populations
D	Encoding models reveal selective differences in face representations in developmental prosopagnosia	Florencia Martinez-Addiego	Development, Individual Differences & Clinical Populations
D	Using AI-generated videos to investigate the roles of attribution and impressions in clinical outcomes	Zizhuang Miao	Development, Individual Differences & Clinical Populations
D	Shallow Hippocampal Anticipation and Dopamine Responses During Evaluation of Novel Shortcuts	Gili Karni	Memory, Learning & Knowledge Structures
D	Neural Representations of Target and Commonly Co-Occurring Objects Accessed Prior to Visual Search	Bhavin Choksi	Memory, Learning & Knowledge Structures
D	Summaries of Naturalistic Narratives Reflect Underlying Event Structure in Episodic Memory	Claire Sun	Memory, Learning & Knowledge Structures
D	Theta Oscillations Shape Load-Dependent Working Memory via Inhibitory Synchronization	Renee Tung	Memory, Learning & Knowledge Structures
D	Humans Can Rapidly Learn What to Encode in Memory	Qihong Lu	Memory, Learning & Knowledge Structures
D	Two-state dynamics structure working memory in the human medial temporal lobe	Zelin Yu	Memory, Learning & Knowledge Structures
D	Representational Geometry Reflects the Dynamics of Experience: Evidence from Relational Learning of Emotion Concepts	Yumeng Ma	Memory, Learning & Knowledge Structures
D	Interactions of Hippocampal Category Learning with Prior Knowledge	Xiaozhi Yang	Memory, Learning & Knowledge Structures
D	How do we learn what to believe and which sources to trust?	Prashanti Ganesh	Memory, Learning & Knowledge Structures
D	Uncertainty minimization generates hippocampus-like dynamics in learning and prediction signals in statistical learning	Pieter Barkema	Memory, Learning & Knowledge Structures
D	Task context shapes strategy for memory-guided decision in a neural network	Moufan Li	Memory, Learning & Knowledge Structures
D	An Episodic Memory Model Can Account for Reinforcement Learning in Humans	Javier Alejandro Masís Obando	Memory, Learning & Knowledge Structures
D	Transformers capture individual differences in reinforcement learning via in-context learning	Jacob Russin	Memory, Learning & Knowledge Structures
D	An Analytically Tractable Model of Optimal Schema Learning and Few-Shot Generalization	Valentina Njaradi	Memory, Learning & Knowledge Structures
D	One-Shot category learning and memory in human adults	Anna Krey	Memory, Learning & Knowledge Structures
D	Determinants of context-dependent memory effects in humans	Susanne Haridi	Memory, Learning & Knowledge Structures
D	Single-Neuron Evidence for Hippocampal Long-Axis Gradient Supporting Semantic Coding in Humans	Sophia Cheng	Memory, Learning & Knowledge Structures
D	Hierarchical Representational Transformations of Working Memory in Brains and Machines	Qingqing Yang	Memory, Learning & Knowledge Structures
D	Spontaneous and Surprise-induced Changes in the Hippocampal Map	Alina Krause	Memory, Learning & Knowledge Structures
D	Learning what matters: Discovering reward-indicative dimensions from naturalistic objects	Yifan Luo	Memory, Learning & Knowledge Structures
D	Language Experience Reshapes Conceptual Boundaries	Maya Taliaferro	Memory, Learning & Knowledge Structures
D	Diffusion-map phenotyping from exactly solvable brain-dynamics models via descriptor-family kernel fusion	Julian Kędys	Methods, Tools, Theory & Neural Coding
D	Generalized Attention Benefits that Outlast Neurofeedback Training	Vishesh Choudhary	Methods, Tools, Theory & Neural Coding
D	Neural Alignment Reveals Selective Reorganization in Domain-Adapted Language Models	Miriam Havin	Methods, Tools, Theory & Neural Coding
D	Structure, disorder, and dynamics in task-trained recurrent neural circuits	David G Clark	Methods, Tools, Theory & Neural Coding
D	Continuous Temporal Difference Learning as a Unifying Theory of Dopamine Function Across Timescales	Sankalp Garud	Methods, Tools, Theory & Neural Coding
D	Pooling Across Brains: Embedding‑SRM Enables Encoding Models in Ultra‑Low‑Data ECoG	ARNAB BHATTACHARJEE	Methods, Tools, Theory & Neural Coding
D	Multi-View Temporal Alignment for Cross-Species fMRI	Kurt Braunlich	Methods, Tools, Theory & Neural Coding
D	Modulation of synaptic connectivity by population activity	Tian Qiu	Methods, Tools, Theory & Neural Coding
D	Automated Individual Subject Functional Parcellation of the Reading Circuitry in the Ventral Occipitotemporal Cortex	Garikoitz Lerma-Usabiaga	Methods, Tools, Theory & Neural Coding
D	Dynamics of object coding in the inferotemporal cortex	Conor McGrory	Methods, Tools, Theory & Neural Coding
D	Geometric regularization of representation spaces enables efficient application of cognitive operators	Paul Liebenow	Methods, Tools, Theory & Neural Coding
D	UMBRELLA: A Foundation Framework for High-Dimensional Neuroimaging via Multi-turn Comparative Learning	Heehwan Wang	Methods, Tools, Theory & Neural Coding
D	Interfacing Macaque Cortex with Language Models for Generative Neural Readout	Victoria Bosch	Methods, Tools, Theory & Neural Coding
D	Efference Copy as Precision Weighting Explains Predictive Sharpening and Perceptual Attenuation in Action-Effect Prediction	Yifei He	Methods, Tools, Theory & Neural Coding
D	Reconstructing subjective experiences across individuals from brain activity	Haibao Wang	Methods, Tools, Theory & Neural Coding
D	Human inference reflects distinct, interacting contributions of information compression and computational complexity	Jacob A Parker	Methods, Tools, Theory & Neural Coding
D	The adaptive relational bottleneck: regulation of attention in the service of abstraction	Keith Thomas Murray	Methods, Tools, Theory & Neural Coding
D	Dendritic structure enables powerful plasticity	Federico Benitez	Methods, Tools, Theory & Neural Coding
D	Presence Expectations Modulate the Neural Signatures of Content Prediction Errors	Martha Cottam	Methods, Tools, Theory & Neural Coding
D	From Single Neurons to Networks: Fundamental Trade-Offs in Information Processing Systems with Limited Resources	Dan Hilman Amir	Methods, Tools, Theory & Neural Coding
D	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
D	Semantic Neighborhood Density and Eye Gaze Time in Human Programmer Attention	Robert Wallace	Methods, Tools, Theory & Neural Coding
D	Artifacts as Memory Beyond the Agent Boundary	Fraser Mince	Methods, Tools, Theory & Neural Coding
D	re:vision – A community-driven replication initiative for image-related neuroscience	Luca Kämmer	Methods, Tools, Theory & Neural Coding
D	Aligning DNN Representational Spaces with Shepard’s Law	Navya Sahay	Methods, Tools, Theory & Neural Coding
D	Inferring the Role of Neuromodulators in Credit Assignment Using Recurrent Neural Networks	Rimjhim Tomar	Methods, Tools, Theory & Neural Coding
D	Robustness and Efficiency Organize Neural Wiring Across Primate Clades	Ittai Shamir	Methods, Tools, Theory & Neural Coding
D	Task Representational Dynamics For Compositional Generalization During Context-dependent Cognitive Tasks	Lakshman N.C. Chakravarthula	Methods, Tools, Theory & Neural Coding
C	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
C	Shared and Distinct Neural Responses at Event Boundaries and Task Transitions	Zhuoyang Li	Decision-Making, Cognitive Control & Event Cognition
C	Dynamic belief state representations in human orbitofrontal cortex under uncertainty	Theo AJ Schäfer	Decision-Making, Cognitive Control & Event Cognition
C	Decomposing iconic memory decay with a joint-feature model of structured errors	Gal Vishne	Memory, Learning & Knowledge Structures
C	Concept Manifold Geometry Explains Asymmetry in Model–Brain Bidirectional Predictivity	Hyewon Willow Han	Computational Models of Vision & Visual Cortex
C	Lexical representations are sequenced through a micro-scale dynamic code in inferior frontal gyrus	Irmak Ergin	Auditory, Speech & Language Processing
C	Prospective Planning and Retrospective Integration: Distinct Neural Signatures of Future and Past in Naturalistic Conversations	Itamar Jalon	Auditory, Speech & Language Processing
C	Effective dimensionality tracks the time-varying accessibility of input features during speech comprehension	Emily Cheng	Auditory, Speech & Language Processing
C	Reservoir Network Model of Asymmetric Acoustic Priming reveals Chaotic Dynamics in Auditory Brainstem	Praveena Satkunarajah	Auditory, Speech & Language Processing
C	A Simple Biologically Plausible Neural Model is Capable of Basic Natural Language Aqcuisition	Daniel Mitropolsky	Auditory, Speech & Language Processing
C	Temporal integration in speech-trained deep neural networks aligns with and diverges from human auditory cortex	Yahia Abdalla	Auditory, Speech & Language Processing
C	Mechanisms of Emergent Analogical Mapping	Caleb Musfeldt	Auditory, Speech & Language Processing
C	Neural Representations of Speech and Music under Temporal Compression	Zhengwu Ma	Auditory, Speech & Language Processing
C	Interpretable Language-Model Encoding of Voxel-Level Tuning During Language Comprehension	Michael A. Lepori	Auditory, Speech & Language Processing
C	Comparing the speech processing hierarchy in early blind and sighted individuals	Allison Chen	Auditory, Speech & Language Processing
C	Word Meaning, not Co-occurrence Statistics, is Essential for Predictive Speech Processing	Andrey Zyryanov	Auditory, Speech & Language Processing
C	Focus particles and scalar inferences across humans and language models	Catherine M. Brousse	Auditory, Speech & Language Processing
C	Human-aligned Universal Audio Representations with Contrastive-Equivariant Self-Supervised Learning	Ian M. Griffith	Auditory, Speech & Language Processing
C	Human-level 3D perception emerges from multi-view learning	tyler bonnen	Computational Models of Vision & Visual Cortex
C	Memorability Varies with How Visual Information Is Sampled by Humans and Models	Sule Tasliyurt Celebi	Computational Models of Vision & Visual Cortex
C	Modeling Visual Cortex by Maximizing Layerwise Multiscale Manifold Capacity	Thomas Edward Yerxa	Computational Models of Vision & Visual Cortex
C	More shape bias does not mean more human-like visual representations	Alban Flachot	Computational Models of Vision & Visual Cortex
C	Still No Evidence for Cross-Fixational Integration: Non-Linear Encoding of Cortical Responses During Natural Vision	Carmen Amme	Computational Models of Vision & Visual Cortex
C	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
C	Persistent polar-angle asymmetries in performance and system-level computations despite equating cortical size	David Tu	Computational Models of Vision & Visual Cortex
C	Beyond snapshot vision: decoding dynamic videos from temporally evolving neural activity	Iris Groen	Computational Models of Vision & Visual Cortex
C	Latent Brain States Improve Prediction of Neural Responses to Visual Stimuli in Mouse V1	Zijian Jiang	Computational Models of Vision & Visual Cortex
C	Subjective surprise is encoded in high-level visual representations of magic tricks	Monica Thieu	Computational Models of Vision & Visual Cortex
C	Initial Organization of the Visual System Emerges from Structured Early Activity Before Naturalistic Experience	Seojin Lee	Computational Models of Vision & Visual Cortex
C	Natural image training enhances generalization in visual number sense of deep neural networks	Joohyun Lee	Computational Models of Vision & Visual Cortex
C	Grasp-relevant Representation of Objects in the Human Parietal and Occipito-temporal Cortices	Amirali Soltani Tehrani	Computational Models of Vision & Visual Cortex
C	Mid-level Motion Statistics as a Model for Dynamic Visual Perception in the Lateral Stream	Ming Zhou	Computational Models of Vision & Visual Cortex
C	Contributions of Visual Pathway Segregation to Learning Multiple Behaviors with Divergent Visual Demands	Aida Mirebrahimi	Computational Models of Vision & Visual Cortex
C	Measuring Depth Inference in the Ames Window Illusion	Emil Stroecker	Computational Models of Vision & Visual Cortex
C	Stable Selectivity to Social Interactions Across Visual Perspective in the Human Brain	Niloufar Faridani	Computational Models of Vision & Visual Cortex
C	Dissociating different sources of uncertainty in mice	Ishan Kalburge	Computational Models of Vision & Visual Cortex
C	Eyes of the beholder: attention-guided metamers reveal divergent scene representations	Ritik Raina	Computational Models of Vision & Visual Cortex
C	Belief Updating as Emotional Value-Based Decision-Making	Kanji Shimomura	Decision-Making, Cognitive Control & Event Cognition
C	Foraging minds: computational and neural foundations of perceptual flexibility	Claire Sturgill	Decision-Making, Cognitive Control & Event Cognition
C	Humans automatically assign credit to outcome-irrelevant features	Ido Ben-Artzi	Decision-Making, Cognitive Control & Event Cognition
C	Super-diffusive memory search drives fast and accurate decisions	Euan Prentis	Decision-Making, Cognitive Control & Event Cognition
C	Beyond search: reframing problem solving through cached solutions	Shuze Liu	Decision-Making, Cognitive Control & Event Cognition
C	The Claw Machine Task: Modelling Confidence in Tool Use	Polina Arbuzova	Decision-Making, Cognitive Control & Event Cognition
C	Do you know what you can do? Measuring self-efficacy in sequential decision making	Jing Li	Decision-Making, Cognitive Control & Event Cognition
C	Planning as a Cognitive Cost that Discourages Goal Switching	Luke Cho	Decision-Making, Cognitive Control & Event Cognition
C	Domian-Specific Stimulus Coding and Domain-General Confidence Signals Across Cognitive Tasks	Xun Chen	Decision-Making, Cognitive Control & Event Cognition
C	Proactive-Like Context Processing Emerges in Transformers Learning Simple Cognitive Tasks	Krishn Bera	Decision-Making, Cognitive Control & Event Cognition
C	Will, Won’t, Want, and Wont: A Reinforcement Learning Model of Self-control	Sahiti Chebolu	Decision-Making, Cognitive Control & Event Cognition
C	Representational Structure of Ordered Contexts	Siddhant Iyer	Decision-Making, Cognitive Control & Event Cognition
C	Assessing Value Normalization and Habit Explanations in the Reward Pairs Task: a Simulation Study	Viktor Timokhov	Decision-Making, Cognitive Control & Event Cognition
C	Trapped in planning: a computational study of episodic memory-guided decision making	Ming Bo Cai	Decision-Making, Cognitive Control & Event Cognition
C	Reaction time and EEG suggest different combination patterns for Simon and flanker conflict	Jonathan Feldman	Decision-Making, Cognitive Control & Event Cognition
C	Geometric Signatures of Event Boundaries in Brain Foundation Models	Kyungjin Oh	Decision-Making, Cognitive Control & Event Cognition
C	Computational Mechanisms of Decision Uncertainty During Decision-Making in Worry	Mahalia Prater Fahey	Development, Individual Differences & Clinical Populations
C	Deafness and Sign Language Experience Uniquely Shift Visual Category Representations	Edan Daniel-Hertz	Development, Individual Differences & Clinical Populations
C	Neural Typicality During Naturalistic 7T fMRI Reflects Cognitive Performance in Multiple Sclerosis	Ido Har-Shalom	Development, Individual Differences & Clinical Populations
C	A data-driven approach for identifying multi-domain connectivity signatures	Alexa Mousley	Development, Individual Differences & Clinical Populations
C	Attentional Alignment in Abstract Reasoning across Developing Minds and Machines	Eva R. Wardenaar	Development, Individual Differences & Clinical Populations
C	Structure and diversity in children's line drawings of object categories across four international contexts	Haoyu Du	Development, Individual Differences & Clinical Populations
C	The Baby Intuitions Benchmark 2: Evaluating Social Intelligence in Humans and Machines	Shannon Yasuda	Development, Individual Differences & Clinical Populations
C	A baby-step toward belief updating constructs: generalizability across two task variants	Magdalena Del Rio	Development, Individual Differences & Clinical Populations
C	Network Activity Flow Models Dissociate Local and Distributed Mechanisms of Visuomotor Hyperactivation after Concussion	Farzin Hajebrahimi	Development, Individual Differences & Clinical Populations
C	Changes in visual objectives explain differences in cue weighting across development: Simulations with neural network models	Olivia Maltz	Development, Individual Differences & Clinical Populations
C	The aging of creative problem solving revealed by the dynamics of latent cognitive-behavioral states	Zhang Xuhui	Development, Individual Differences & Clinical Populations
C	Biophysical modeling of inter-brain synchrony during social and non-social interaction	Xiaojun Zhou	Development, Individual Differences & Clinical Populations
C	A Compositional Model of Semantic Fluency	Surabhi S Nath	Memory, Learning & Knowledge Structures
C	Learning Long-Range Temporal Dependencies Through Sleep-Inspired Acceleration	Nicholas Soures	Memory, Learning & Knowledge Structures
C	Dimensional Doubt is Selectively Associated with Metacognition for Non-Occurrences	Noam Sarna	Memory, Learning & Knowledge Structures
C	Specialized Computations for Generalized World Modelling in Prefrontal Cortex	Fahd Yazin	Memory, Learning & Knowledge Structures
C	Cognitive and Neural Origins of Persistent Experiences	Gabriel Arthur Daniel Kressin Palacios	Memory, Learning & Knowledge Structures
C	A multidimensional framework for episodic memory reveals age-related changes in underlying cognitive processes	Soroush Mirjalili	Memory, Learning & Knowledge Structures
C	Sampling as a Resource-Rational Learning Mechanism	Muhammad Hashim Satti	Memory, Learning & Knowledge Structures
C	Mechanistic Model of Salience-Gated Memory Consolidation via the Anteromedial Thalamus	Stephan Kim	Memory, Learning & Knowledge Structures
C	Complementary learning dynamics within neocortex and hippocampus	Zoya Khan	Memory, Learning & Knowledge Structures
C	The impact of noise on memorability in minds and machines	Martin Wiener	Memory, Learning & Knowledge Structures
C	Modeling Human Reasoning Errors on ARC with Natural Language Programs	Jinran Jin	Memory, Learning & Knowledge Structures
C	A resource-rational model of self-paced learning	SI MA	Memory, Learning & Knowledge Structures
C	A Distributed Cortical Network Integrates Semantic Representations of Number, Space, and Time	Evi Hendrikx	Memory, Learning & Knowledge Structures
C	Divergent working memory dynamics in biological and recurrent neural networks	Daria Kussovska	Memory, Learning & Knowledge Structures
C	Neural mechanisms underlying valence bias in reinforcement learning and episodic memory across development	Sahithyan Sivakumaran	Memory, Learning & Knowledge Structures
C	Emergent Superstitious Learning Behaviors and Computations in Neuromodulated Plastic Neural Networks	Yuhao Jin	Memory, Learning & Knowledge Structures
C	The negative relationship between cognitive ability and metacognitive accuracy is specific to memory domain	Bingqing Chen	Memory, Learning & Knowledge Structures
C	Do People Back-Project Rules?	Henrike Flimm	Memory, Learning & Knowledge Structures
C	Shortest-Path Planning on Learned Latent-State Maps Better Fits Biological Navigation Data Than Tabular Successor Representations	Zacharie Bugaud	Memory, Learning & Knowledge Structures
C	Discovering analogous structure supports generalization in human reinforcement learning	Alana Jaskir	Memory, Learning & Knowledge Structures
C	Probabilistic World Models Provide a Shared Account for Learning from Surprise, Schemas, and Imagination	Shrey Dixit	Memory, Learning & Knowledge Structures
C	Place Cells and Grid Cells Refine Each Other: A Clone-Structured Cognitive Graphs Model	Yicong Zheng	Memory, Learning & Knowledge Structures
C	Memories reflect the expected value of abstraction	Jae-Young Son	Memory, Learning & Knowledge Structures
C	Familiarity Affects Sequence Working Memory Codes in Macaque Prefrontal Cortex and Recurrent Neural Networks	Yichen Qian	Memory, Learning & Knowledge Structures
C	Sensorimotor context modulates reinforcement learning	Elliot Huang	Memory, Learning & Knowledge Structures
C	Metacognitive sensitivity governs adaptive representational compactness in hierarchical structure learning	Rochelle Kaper	Memory, Learning & Knowledge Structures
C	Orthogonal Neural Subspaces in Working Memory Circuits Support Interference Protection and Flexible Updates	Liu Yuezhang	Memory, Learning & Knowledge Structures
C	Experience shapes strategy via embedded network dynamics	John C Bowler	Memory, Learning & Knowledge Structures
C	Hippocampus and Prefrontal Cortex Differentially Shape Memory Responses in Visual Cortex	Aditi Narayan	Memory, Learning & Knowledge Structures
C	Gating by Both Relative and Absolute Match Helps to Optimize Episodic Memory Retrieval	Cody V. Dong	Memory, Learning & Knowledge Structures
C	How Do You Know It’s Real? Controlling False Positives in Whole-Brain Neural Decoding	Zihan Li	Methods, Tools, Theory & Neural Coding
B	A structured population code for a symbolic action grammar	Lucas Y. Tian	Methods, Tools, Theory & Neural Coding
B	Orthogonal Task Representation Enables Flexible Task Switching in Human OPM-MEG and Neural Networks	Xiaoyi Liu	Methods, Tools, Theory & Neural Coding
B	Task-guided cross-subject latent alignment: a multi-encoder-decoder VAE	Angeliki Papathanasiou	Methods, Tools, Theory & Neural Coding
B	Investigating Invariances in Auditory Event Categorization with Model Metamers	Hee So Kim	Auditory, Speech & Language Processing
B	Functional Localization as a Path to a Cumulative Research Enterprise in Human Intracranial Research	Suseendrakumar Duraivel	Methods, Tools, Theory & Neural Coding
B	Self-Supervised Modelling of Social Primitives in Human Dyads	Thibaut Chataing	Development, Individual Differences & Clinical Populations
B	Vision Models Capture Complementary Representations in Children That Converge in Adults	Domenic Bersch	Development, Individual Differences & Clinical Populations
B	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
B	Folk Psychological Structure of Mind in Large Language Models	Rachel Charlotte Metzgar	Auditory, Speech & Language Processing
B	Modeling human echolocation using a Kalman filter	Sofia Krasovskaya	Auditory, Speech & Language Processing
B	Semantic efficiency and human-alignment in multilingual multimodal large language models	Nathaniel Imel	Auditory, Speech & Language Processing
B	Predicting Sound Detection in Auditory Scenes Using Task-Optimized Neural Networks	Sagarika Alavilli	Auditory, Speech & Language Processing
B	The Role of Prior Precision and Prior Probability in Voice Perception	Carina Ufer	Auditory, Speech & Language Processing
B	Do Social Micro-processes Emerge in Multimodal Language Models? A Case Study of Egocentric Referential Communication	Dota Tianai Dong	Auditory, Speech & Language Processing
B	Using Transformer Attention to Assess How Temporal Integration in Music Relates to Aesthetic Pleasure	Edward A Vessel	Auditory, Speech & Language Processing
B	Estimating the generative model underlying stochastic processes drives auditory perception	Clémentine Lévy-Fidel	Auditory, Speech & Language Processing
B	Protracted development of receptive field tuning in human auditory cortex	Oyindamola Ogunlade	Auditory, Speech & Language Processing
B	Modern Machine Systems Exhibit Superhuman Speech Recognition	Annika Magaro	Auditory, Speech & Language Processing
B	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
B	Hierarchical Temporal Expectations	Maysan Bader	Auditory, Speech & Language Processing
B	Cortical timescale representations are longer in second than in first language	Mathis Lamarre	Auditory, Speech & Language Processing
B	Topographic constraints shape brain-like component structure in auditory models	Haider Al-Tahan	Auditory, Speech & Language Processing
B	Characterizing and modeling time-varying object percepts evoked by naturalistic video	Lynn K. A. Sörensen	Computational Models of Vision & Visual Cortex
B	Testing theories of segment-based neural representation in macaque V1	Tridib Kalyan Biswas	Computational Models of Vision & Visual Cortex
B	Using Deep Neural Networks To Model The Relationship Between Internal Visual Representations And Aesthetic Appeal	Karen A Wahba	Computational Models of Vision & Visual Cortex
B	Power-Law Enhancement for Rate-Based Binding in Object-Centric Perception	Ishanvir S. Choongh	Computational Models of Vision & Visual Cortex
B	Efficiency and noise processing in early visual system	Harini Sudha J G	Computational Models of Vision & Visual Cortex
B	Emergent Demand-Driven Precision in Neural Networks Optimized for Multiple Object Tracking	Sun Minni	Computational Models of Vision & Visual Cortex
B	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
B	Foveated multiview models of human 3D shape perception	Stephanie Fu	Computational Models of Vision & Visual Cortex
B	Distribution shift predicts the dynamics of 3D perception	Václav Knapp	Computational Models of Vision & Visual Cortex
B	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
B	The Transformer May Be the Universal Cortical Microcircuit	Yash Shah	Computational Models of Vision & Visual Cortex
B	Attention Gain as a Learning Mechanism in a Visual Search Meta-Task	Christos Karaneen	Computational Models of Vision & Visual Cortex
B	Learning a Max-Entropy Diffusion Model for Visual Textures	Xinyuan Zhao	Computational Models of Vision & Visual Cortex
B	Task Demands Dynamically Structure Feature Selection, Routing, and Integration in the Human Brain	Yuening Yan	Computational Models of Vision & Visual Cortex
B	Representational Geometry of Optic Flow Determines Heading Direction Encoding in Macaque MSTd	Nathaniel Powell	Computational Models of Vision & Visual Cortex
B	A Minimal Model of Bounded Trade-Off Screening in Multi-Attribute Choice	Anirban Sarkar	Decision-Making, Cognitive Control & Event Cognition
B	How losses change the way we search: valence effects on generalization-guided exploration	Ingrid Martin	Decision-Making, Cognitive Control & Event Cognition
B	Shared and context-dependent cortico–striatal–cerebellar organization of temporal prediction	Ana Luísa Pinho	Decision-Making, Cognitive Control & Event Cognition
B	Characterizing Decision Strategies from Think-Aloud in Risky Choice	Cierra Ferguson	Decision-Making, Cognitive Control & Event Cognition
B	Not all uncertainty promotes exploration	Fukun Evelene Zhang	Decision-Making, Cognitive Control & Event Cognition
B	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
B	How Prior Beliefs Distort the Integration of Information in Sequential Decision-Making	Imogen Scott	Decision-Making, Cognitive Control & Event Cognition
B	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
B	Behavioral and neural correlates of conflict prediction	Hans Kirschner	Decision-Making, Cognitive Control & Event Cognition
B	Perceived partner complexity affects agency attribution and asymmetries in reinforcement learning	Sepehr Razavi	Decision-Making, Cognitive Control & Event Cognition
B	Asymmetric Interruption Costs Reflect Transition Structure Shaped by Task-Neutral Attractors	Takuro Zama	Decision-Making, Cognitive Control & Event Cognition
B	Goal-pursuit strategies in volatile environments	Eleanor Holton	Decision-Making, Cognitive Control & Event Cognition
B	Serial Dependence in Value-based Decisions Is Gated by Uncertainty	Ling Huang	Decision-Making, Cognitive Control & Event Cognition
B	An affordance perspective of dynamic pursuit and emergent change of mind in artificial agents	Jungsuk James Lee	Decision-Making, Cognitive Control & Event Cognition
B	Neural Typicality in Naturalistic fMRI Defines an Interpretable Representation for Clinical Classification	Michal Ramot	Development, Individual Differences & Clinical Populations
B	Predicting Individualized Functional Topographies in Autism Spectrum Disorder	Ian Abenes	Development, Individual Differences & Clinical Populations
B	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
B	Early-life environments shape reinforcement learning computations across development	Nora C. Harhen	Development, Individual Differences & Clinical Populations
B	Analogical Reasoning Abilities of MLLMs, Children and Adults on Bongard Problems	Marit Metz	Development, Individual Differences & Clinical Populations
B	Outcome-driven decisions dominate causal inference in autism across species	Aviel Sulem	Development, Individual Differences & Clinical Populations
B	Efficient Multi Subject Visual Reconstruction from fMRI Using Aligned Representations	Christos Zangos	Methods, Tools, Theory & Neural Coding
B	Recurrent Processing Diversely Reshapes Within- and Between-Category Geometry in Macaque IT	Wang Boran	Methods, Tools, Theory & Neural Coding
B	Spectral structure of rehabilitation experience constrains behavioural recovery after stroke	Noor Sajid	Methods, Tools, Theory & Neural Coding
B	Parameter symmetries determine representational geometry in overparameterized nonlinear networks	Erin Grant	Methods, Tools, Theory & Neural Coding
B	Brain Foundation Model Representations of Naturalistic Emotional Dynamics	Elena Skoullou	Methods, Tools, Theory & Neural Coding
B	Bayesian linear encoding to evaluate models on neuroimaging data	Juan Jesús Torre Tresols	Methods, Tools, Theory & Neural Coding
B	Adaptive estimation of individual sensory representations	Josue Casco-Rodriguez	Methods, Tools, Theory & Neural Coding
B	CogMaze: A Benchmark of Egocentric Spatial Understanding in Humans and Vision-Language Models	Harvey Donnelly	Methods, Tools, Theory & Neural Coding
B	A Probe-Based Detector Using Saliency Divergence, Gradients, and Layer Sensitivity	Yalda Mohsenzadeh	Methods, Tools, Theory & Neural Coding
B	Attractor dynamics in primate retrosplenial cortex support goal-proximal spatial information processing	Seunghan Lee	Methods, Tools, Theory & Neural Coding
B	Quantifying information gain in narrative stimuli using open-source large language models	Aidan Goeschel	Methods, Tools, Theory & Neural Coding
B	How do RNNs encode mixtures? One mechanism for three geometries	Esther Poniatowski	Methods, Tools, Theory & Neural Coding
B	Back to the Feature: Toward a Feature-Centric Account of Brain–LM Alignment	Timna Wharton Kleinman	Methods, Tools, Theory & Neural Coding
B	B³ net: Brain-Body-Behavior model of attention fluctuations in humans	Zinong Yang	Methods, Tools, Theory & Neural Coding
B	An Excessive-Demand Measure Outperforms in Explaining Lab Asset-Market Price Changes: Toward a Neuroeconomic Marker of Excessive Demand	John L. Haracz	Methods, Tools, Theory & Neural Coding
B	Optimizing Language Model Embeddings to Voxel Activity Improves Brain Activity Predictions	Anuja Negi	Methods, Tools, Theory & Neural Coding
B	Modularity maximization reveals network-level organization and synaptic localization	Gabrielle J. Gutierrez	Methods, Tools, Theory & Neural Coding
B	Tracing Sparse Feature Circuits in Vision Transformers	Zirui Hu	Methods, Tools, Theory & Neural Coding
B	What Does the Global Latent Workspace Learn?	Sixuan Chen	Methods, Tools, Theory & Neural Coding
B	Speed vs. Accuracy in aDDM Inference: Where Shortcuts Fail!	Andrew Zhang	Methods, Tools, Theory & Neural Coding
B	Encodings of multimodal conversational behavior predict trait impressions	Landry Bulls	Methods, Tools, Theory & Neural Coding
B	Continuous Attractor Neural Networks Toolkit: Standardizing Computational Neuroscience Research on Attractor Dynamics	Sichao He	Methods, Tools, Theory & Neural Coding
B	INVERSE MODELING OF AUDITORY CORTICAL-SUBCORTICAL DYNAMICS FROM SCALP EEG SIGNALS VIA JOINT PSD NETWORKS	Shourya Verma	Methods, Tools, Theory & Neural Coding
B	Connectivity Hyperalignment Reveals Shared Fine-Scale Functional Organization in the Human Subcortex	Jiaxin Cindy Tu	Methods, Tools, Theory & Neural Coding
B	A resource of encoding models for in silico neuroscience	Alessandro Thomas Gifford	Methods, Tools, Theory & Neural Coding
B	Unsupervised learning of human-interpretable and task-relevant visual features from very little data	Ananya Passi	Methods, Tools, Theory & Neural Coding
B	A systematic analysis of representations in artificial neural networks across hyperparameters	Kirsten Devolder	Methods, Tools, Theory & Neural Coding
B	Agentic AI Can Generalize to Multiple Speeded Tasks with Human-Like Behavior	Logan J Bennett	Methods, Tools, Theory & Neural Coding
B	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
B	Feedback-gated synaptic modulation enables context-dependent computation in recurrent neural networks	Jingcheng Shi	Methods, Tools, Theory & Neural Coding
B	Inferring Scene Segmentations from fMRI Responses in the Natural Scenes Dataset	Tiasha Saha Roy	Methods, Tools, Theory & Neural Coding
B	Heterogeneous Time Constants Enhance Robustness in Equilibrium Propagation	Yoshimasa Kubo	Methods, Tools, Theory & Neural Coding
B	Spatial uncertainty underlies geometric distortions in navigation and grid cell tuning	Yul HR Kang	Methods, Tools, Theory & Neural Coding
B	Connectome-Constrained Spiking Networks Reproduce Emergent Computations in Larval Olfactory Pathway	Jordan Watts	Methods, Tools, Theory & Neural Coding
B	NeuralPlayground: A Standardised Environment for Evaluating Models of Hippocampus and Entorhinal Cortex	Clémentine Carla Juliette Dominé	Methods, Tools, Theory & Neural Coding
B	Nothing from Something: Can a Language Model Discover 0?	Phoebe Zeng	Methods, Tools, Theory & Neural Coding
B	Independent-Component-Based Encoding Models of Brain Activity During Story Comprehension	Anna A Ivanova	Methods, Tools, Theory & Neural Coding
B	Start simple: the benefit of shaping in learning under different cognitive loads	Ti-Fen Pan	Memory, Learning & Knowledge Structures
A	Integrating vision and language in long-term memory metamers	Abe Leite	Memory, Learning & Knowledge Structures
A	What Makes a Category Memorable? Human Conceptual Diversity Outpredicts Perceptual Similarity and Deep Neural Networks	Dyllan Simpson	Memory, Learning & Knowledge Structures
A	Implications of hierarchical Markov models of behavior: on irreversibility, predictability, and dimensionality	John J. Vastola	Methods, Tools, Theory & Neural Coding
A	Recycling and Co-option Are Dissociable Mechanisms of Cortical Reorganization	Lauren S Aulet	Computational Models of Vision & Visual Cortex
A	Using Motion-guided Foveation to Improve Physical Prediction in Latent Representation Video Models	Xiangzhou Sun	Computational Models of Vision & Visual Cortex
A	Deep Learning Models of Attention Reveal Peripheral Encoding as a Bottleneck for Selective Listening Through Cochlear Implants	Annesya Banerjee	Auditory, Speech & Language Processing
A	A Low-Rank GPT-2 XL Subspace Captures Linear Alignment with Intracranial Responses during Language Listening	Zachary Paris	Auditory, Speech & Language Processing
A	Learning Language by Listening: A Computational Learnability Account	Greta Tuckute	Auditory, Speech & Language Processing
A	Evaluating EMEG and ECoG Modalities for Brain-LLM Alignment in Speech Perception	Chentianyi Yang	Auditory, Speech & Language Processing
A	When the Whole Shapes the Parts: Local-Global Interactions in Auditory Perception	Berfin Bastug	Auditory, Speech & Language Processing
A	Neural Indices of Language Processing are Enhanced during Interactive Conversation	Calli Smith	Auditory, Speech & Language Processing
A	A Parametric Continuum for Probing Visual Speech Representations	Emma Zhang	Auditory, Speech & Language Processing
A	Remembered dialogue can shift alignment-relevant behavior in LLMs, with conditional effects of source credibility	Chad DeChant	Auditory, Speech & Language Processing
A	Neural Encoding of Syntactic Movement in English but Not Chinese	Yuhan Huang	Auditory, Speech & Language Processing
A	NeuroTIMM: Harmonizing the TIMM Model Zoo with Human Visual Strategies	Akash Nagaraj	Computational Models of Vision & Visual Cortex
A	Large-scale vision models show sparks of visual reasoning from natural image training	Thomas Serre	Computational Models of Vision & Visual Cortex
A	fMRI and Electrophysiological Recordings are Equally Sensitive for Differentiating Deep Neural Network Models of the Brain	Daniel LK Yamins	Computational Models of Vision & Visual Cortex
A	Separating Numerosity and Proportion Representations Through Pretraining	Yechan Cho	Computational Models of Vision & Visual Cortex
A	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
A	A tale of two tails: Preferred and anti-preferred natural stimuli in visual cortex	Rabia Gondur	Computational Models of Vision & Visual Cortex
A	Representational dynamics in inferotemporal cortex depend on image manifold scale	Ammar I Marvi	Computational Models of Vision & Visual Cortex
A	Unlearnability of Symmetry-based Visual Relations by Deep Neural Networks	Guillermo Puebla	Computational Models of Vision & Visual Cortex
A	The role of shape and local features in human object recognition and learning	Allan R. Schneider	Computational Models of Vision & Visual Cortex
A	Mapping Social Trait Judgments on the Human Cerebral Cortex Using Naturalistic, Dynamic Stimuli	Po-Yuan Alan Hsiao	Computational Models of Vision & Visual Cortex
A	Downsampled Representations Improve Cross-Model Transfer in hV4 Encoding-Model Metamers	Hayato Ono	Computational Models of Vision & Visual Cortex
A	Model-derived Minimal Image Pairs Predict Differential Responses in Human Scene-Selective Cortex	Junxia Wang	Computational Models of Vision & Visual Cortex
A	Rethinking the inversion effect as a graded phenomenon across object categories	Jakob Winkler	Computational Models of Vision & Visual Cortex
A	Origins of Category Selectivity: Natural Image Statistics Are Necessary but Not Sufficient	Bowen Zheng	Computational Models of Vision & Visual Cortex
A	Contrastive Self-Supervised Learning in Higher Visual Cortex	Daniel D. Kato	Computational Models of Vision & Visual Cortex
A	Deep Neural Network Models Capture Ventral Stream Predictivity at Cross-Animal Consistency	Josh Wilson	Computational Models of Vision & Visual Cortex
A	Circuit motifs underlying representational untangling	Jeffery W. Andrade	Computational Models of Vision & Visual Cortex
A	Do Better Visual Question Answering Models Attend More Like Humans?	Aiqing Li	Computational Models of Vision & Visual Cortex
A	Simple 3D Pose Features Support Human and Machine Social Scene Understanding	Wenshuo Qin	Computational Models of Vision & Visual Cortex
A	Prenatal retinal waves generate the proto-architecture of newborn visual systems	Samantha Marie Waters Wood	Computational Models of Vision & Visual Cortex
A	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
A	A Benchmark for Physical Object Relationship Perception in Humans and Machines	Georgina Woo	Computational Models of Vision & Visual Cortex
A	Decoding implied motion magnitude using fMRI activity	Koustav Banerjee	Computational Models of Vision & Visual Cortex
A	Unifying discrimination and generation in one architecture	Imran Thobani	Computational Models of Vision & Visual Cortex
A	Directional Confusions Reveal Inductive Bias Through Rate–Distortion Geometry in Human and Machine Vision	Leyla Roksan Caglar	Computational Models of Vision & Visual Cortex
A	Divisive normalization masquerades as predictive processing in visual cortex	Ningkai Wang	Computational Models of Vision & Visual Cortex
A	Manipulating human gaze reveals a cost structure of natural visual search	Hyunwoo Gu	Computational Models of Vision & Visual Cortex
A	Reaching for Emotion Regulation with Reachy Mini	Aarat Satsangi	Development, Individual Differences & Clinical Populations
A	Characterizing Temporal Dynamics of Sleep as a Function of Heart Rate Variability: A Digital Mental Health Approach	Tvisha Shah	Development, Individual Differences & Clinical Populations
A	Neural attractor dynamics predict relapse after rapid pharamacological perturbation of mood in difficult-to-treat depression	Selena Singh	Development, Individual Differences & Clinical Populations
A	Age-related differences in structure learning drive foraging behavior in a multimodal patch-leaving task	X Roger Chen	Development, Individual Differences & Clinical Populations
A	Internal noise, not error correction, limits the development of synchronization and adaptation	Michal Dobner	Development, Individual Differences & Clinical Populations
A	Variability in Young Children's Everyday Visual Experiences of Object Categories	Jane Yang	Development, Individual Differences & Clinical Populations
A	Task demands and inductive biases jointly shape the generality of working memory gating policies	Aalok Sathe	Memory, Learning & Knowledge Structures
A	Human Single Neurons and Predictive Models Remap Differently in Reward and Transition Relearning	Weijia Zhang	Memory, Learning & Knowledge Structures
A	Context-Dependent Relational Warping Underlies Triangle Inequality Violations in a Large Language Model	Sunsikham	Memory, Learning & Knowledge Structures
A	Individual Variation in Non-Spatial Navigation is Related to Adaptive Learning and Use of Successor Representations	Alexa Booras	Memory, Learning & Knowledge Structures
A	Human Causal Reasoning Demonstrates Neurosymbolic Structure in Exploration-driven Benchmarks	Rachel Papirmeister	Memory, Learning & Knowledge Structures
A	Inhibitory signals support working memory in sensory cortex	Robert Kim	Memory, Learning & Knowledge Structures
A	Keep it in Sight: Reward Function Compression Through Goal Visibility	Xitong Chen	Memory, Learning & Knowledge Structures
A	Learning Flexible Task Representations from Temporal and Sequential Regularities in Continuous Experience	Aidan Higgs	Memory, Learning & Knowledge Structures
A	Learning the paths to goals in the absence of reward	Yunchang Zhang	Memory, Learning & Knowledge Structures
A	Timing of Guidance Shapes Experiential Learning	Divya Srinivasan	Memory, Learning & Knowledge Structures
A	A mathematical theory of hippocampal repulsion	Samuel Lippl	Memory, Learning & Knowledge Structures
A	Adaptive Online Learning of Structured Abstractions in Visual Problem-Solving	Ivan Zareski	Memory, Learning & Knowledge Structures
A	Interactions Between Features and Conjunctions during Category Learning	Heeseung Lee	Memory, Learning & Knowledge Structures
A	Fast dynamical similarity analysis	Arman Behrad	Methods, Tools, Theory & Neural Coding
A	Emergent Functional Circuits in Embodied Foragers	Salar Nouri	Methods, Tools, Theory & Neural Coding
A	Meta-learning In-Context Enables Training-Free Cross Subject Decoding of Vision and Motor	Andrew F. Luo	Methods, Tools, Theory & Neural Coding
A	Biasing optimization to find more informative model metamers	William F. Broderick	Methods, Tools, Theory & Neural Coding
A	Measuring Internal Representational Alignment between Conceptual Metaphor Domains	Afjal Chowdhury	Methods, Tools, Theory & Neural Coding
A	RSVP-induced ERP Class Posteriors Reflect Graded Neural Perception of Humanoid Images	Basak Celik	Methods, Tools, Theory & Neural Coding
A	Anatomy-Aware Masked Image Modeling for Self-Supervised Learning on 3D Brain MRI	Yeonwoo Kim	Methods, Tools, Theory & Neural Coding
A	Bottom-up Modeling of Striatum and its Brain Circuit Interactions	Romina Ahmadi	Methods, Tools, Theory & Neural Coding
A	Automated Adversarial Collaboration for Advancing Theory Building in the Cognitive Sciences	Suyog Chandramouli	Methods, Tools, Theory & Neural Coding
A	Hidden Markov Modeling of Labyrinth Navigation	Zeyu Jing	Methods, Tools, Theory & Neural Coding
A	System identification from raw EEG during clinical propofol sedation with an interpretable latent SDE model	K. Seeliger	Methods, Tools, Theory & Neural Coding
A	Latent-fMRI: Latent Neural Representations in Naturalistic fMRI using Contrastive Learning	Kajal Singla	Methods, Tools, Theory & Neural Coding
A	Interpreting Neural Encoding Models: Voxel-Level Feature Discovery with Causal Validation	Idan Daniel Grosbard	Methods, Tools, Theory & Neural Coding
A	Neuroscience-Inspired Analyses of Visual Interestingness in Multimodal Transformers	Mathis Immertreu	Methods, Tools, Theory & Neural Coding
A	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
A	Signatures of discrete action representations emerge in a task-optimized neuro-symbolic model	Carlos G. Correa	Methods, Tools, Theory & Neural Coding
A	Hyperthermia affects heterogeneity of neuronal network inducing abnormal synchronization	Rosangela Follmann	Methods, Tools, Theory & Neural Coding
A	Driving in the scanner: a versatile platform for studying naturalistic human spatial navigation	Tianjiao Zhang	Methods, Tools, Theory & Neural Coding
A	Optimally Structured Mixed Selectivity. A Normative Theory of Control in Neural Circuits	Will Dorrell	Methods, Tools, Theory & Neural Coding
A	Othello-GPT Does Not Have a World Model: Lessons for Attributing World Models to Neural Systems	John Morrison	Methods, Tools, Theory & Neural Coding
A	Revealing the geometry of duration space	Camille L. Grasso	Methods, Tools, Theory & Neural Coding
A	Astrocyte-Inspired Modulation for Robust Explanations in Vision Transformers	Nicolas Echevarrieta-Catalan	Methods, Tools, Theory & Neural Coding
A	PyDDMBayes: A Multilevel Bayesian Framework for Generalized Drift-Diffusion Modeling	Covert Geary	Methods, Tools, Theory & Neural Coding
A	NeuroBabyLM: A Benchmark for Brain Alignment in Language Models Trained on Developmentally-Plausible Datasets	Ahhyun Lucy Lee	Methods, Tools, Theory & Neural Coding
A	Parallel synapses and divisive normalization enhance classification capacity	Caitlin Lienkaemper	Methods, Tools, Theory & Neural Coding
A	Dynamical systems analysis of a large-scale cortical language model enables mechanistic interpretation	Agata Feledyn	Methods, Tools, Theory & Neural Coding
A	Representation can dissociate from function and behaviour in task-optimised vision networks	Marvin Theiss	Methods, Tools, Theory & Neural Coding
A	Signals vs. synchrony: decoding affective processing from voxel activation vs. functional connectivity in task-based fMRI	Cécile Abati	Methods, Tools, Theory & Neural Coding
A	Directed connectivity mapping through a self-attention mechanism in the human brain foundation model	Myeonggyo Jeong	Methods, Tools, Theory & Neural Coding
A	Predicting EEG Spectrograms from fMRI to Identify Brainwide Activity Underlying Neural Rhythms	Arnav Aggarwal	Methods, Tools, Theory & Neural Coding
A	Better than reality: implied auditory information across visual and multimodal regions revealed by generative AI	Ryuto Yashiro	Methods, Tools, Theory & Neural Coding
A	Neural implementation of temporal difference error via meta reinforcement learning	Christopher M Kim	Methods, Tools, Theory & Neural Coding
A	How Does the Brain Dynamically Combine Visual and Conceptual Features to Support Goal-Oriented Behavior?	Bruce Hansen	Methods, Tools, Theory & Neural Coding
A	Uncovering Multi-Regional Inputs Using Input-Driven Switching Recurrent Neural Networks	Yongxu Zhang	Methods, Tools, Theory & Neural Coding
A	A new code for position: flat neural maps in mouse medial frontal cortex	Rajyashree Sen	Methods, Tools, Theory & Neural Coding
A	Learning Optimally Fast: a Normative Theory Balancing Effort and Performance	Rodrigo Carrasco-Davis	Methods, Tools, Theory & Neural Coding
A	Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents	Satpreet H. Singh	Methods, Tools, Theory & Neural Coding
A	Fast Whole-Brain, Geometry-Aware Functional Alignment for Cross-Subject Decoding	Pierre-Louis Barbarant	Methods, Tools, Theory & Neural Coding
A	AI-Assisted writing may create an illusion of learning by dissociating performance from durable memory	Abigail M. Daems	Memory, Learning & Knowledge Structures