Poster Session E

Thursday, August 6, 10:30 am – 12:15 pm, Posters 1-22 are in Shorin Room, posters 23-103 are in Rosenthal Room

Poster	Title	Presenter	Topic Area
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