Poster Session A

Tuesday, August 4, 9:30 – 11:15 am, Posters 1-22 are in Shorin Room, posters 23-103 are in Rosenthal Room

Poster	Title	Presenter	Topic Area
A1	Implications of hierarchical Markov models of behavior: on irreversibility, predictability, and dimensionality	John J. Vastola	Methods, Tools, Theory & Neural Coding
A2	Fast dynamical similarity analysis	Arman Behrad	Methods, Tools, Theory & Neural Coding
A4	Meta-learning In-Context Enables Training-Free Cross Subject Decoding of Vision and Motor	Andrew F. Luo	Methods, Tools, Theory & Neural Coding
A5	Biasing optimization to find more informative model metamers	William F. Broderick	Methods, Tools, Theory & Neural Coding
A6	Measuring Internal Representational Alignment between Conceptual Metaphor Domains	Afjal Chowdhury	Methods, Tools, Theory & Neural Coding
A7	RSVP-induced ERP Class Posteriors Reflect Graded Neural Perception of Humanoid Images	Basak Celik	Methods, Tools, Theory & Neural Coding
A8	Anatomy-Aware Masked Image Modeling for Self-Supervised Learning on 3D Brain MRI	Yeonwoo Kim	Methods, Tools, Theory & Neural Coding
A9	Bottom-up Modeling of Striatum and its Brain Circuit Interactions	Romina Ahmadi	Methods, Tools, Theory & Neural Coding
A10	Automated Adversarial Collaboration for Advancing Theory Building in the Cognitive Sciences	Suyog Chandramouli	Methods, Tools, Theory & Neural Coding
A11	Hidden Markov Modeling of Labyrinth Navigation	Zeyu Jing	Methods, Tools, Theory & Neural Coding
A12	System identification from raw EEG during clinical propofol sedation with an interpretable latent SDE model	K. Seeliger	Methods, Tools, Theory & Neural Coding
A13	Latent-fMRI: Latent Neural Representations in Naturalistic fMRI using Contrastive Learning	Kajal Singla	Methods, Tools, Theory & Neural Coding
A14	Interpreting Neural Encoding Models: Voxel-Level Feature Discovery with Causal Validation	Idan Daniel Grosbard	Methods, Tools, Theory & Neural Coding
A15	Neuroscience-Inspired Analyses of Visual Interestingness in Multimodal Transformers	Mathis Immertreu	Methods, Tools, Theory & Neural Coding
A16	Is This the Real Life? Is This Just Fantasy? A Domain Adaptation Framework for Identifying Higher-Order Reality Representations	Ali Ekhlasi	Methods, Tools, Theory & Neural Coding
A17	Signatures of discrete action representations emerge in a task-optimized neuro-symbolic model	Carlos G. Correa	Methods, Tools, Theory & Neural Coding
A18	Hyperthermia affects heterogeneity of neuronal network inducing abnormal synchronization	Rosangela Follmann	Methods, Tools, Theory & Neural Coding
A19	Driving in the scanner: a versatile platform for studying naturalistic human spatial navigation	Tianjiao Zhang	Methods, Tools, Theory & Neural Coding
A20	Optimally Structured Mixed Selectivity. A Normative Theory of Control in Neural Circuits	Will Dorrell	Methods, Tools, Theory & Neural Coding
A21	Othello-GPT Does Not Have a World Model: Lessons for Attributing World Models to Neural Systems	John Morrison	Methods, Tools, Theory & Neural Coding
A22	Revealing the geometry of duration space	Camille L. Grasso	Methods, Tools, Theory & Neural Coding
A23	Astrocyte-Inspired Modulation for Robust Explanations in Vision Transformers	Nicolas Echevarrieta-Catalan	Methods, Tools, Theory & Neural Coding
A24	PyDDMBayes: A Multilevel Bayesian Framework for Generalized Drift-Diffusion Modeling	Covert Geary	Methods, Tools, Theory & Neural Coding
A25	NeuroBabyLM: A Benchmark for Brain Alignment in Language Models Trained on Developmentally-Plausible Datasets	Ahhyun Lucy Lee	Methods, Tools, Theory & Neural Coding
A26	Parallel synapses and divisive normalization enhance classification capacity	Caitlin Lienkaemper	Methods, Tools, Theory & Neural Coding
A27	Dynamical systems analysis of a large-scale cortical language model enables mechanistic interpretation	Agata Feledyn	Methods, Tools, Theory & Neural Coding
A28	Representation can dissociate from function and behaviour in task-optimised vision networks	Marvin Theiss	Methods, Tools, Theory & Neural Coding
A29	Signals vs. synchrony: decoding affective processing from voxel activation vs. functional connectivity in task-based fMRI	Cécile Abati	Methods, Tools, Theory & Neural Coding
A30	Directed connectivity mapping through a self-attention mechanism in the human brain foundation model	Myeonggyo Jeong	Methods, Tools, Theory & Neural Coding
A31	Predicting EEG Spectrograms from fMRI to Identify Brainwide Activity Underlying Neural Rhythms	Arnav Aggarwal	Methods, Tools, Theory & Neural Coding
A32	Better than reality: implied auditory information across visual and multimodal regions revealed by generative AI	Ryuto Yashiro	Methods, Tools, Theory & Neural Coding
A33	Neural implementation of temporal difference error via meta reinforcement learning	Christopher M Kim	Methods, Tools, Theory & Neural Coding
A34	How Does the Brain Dynamically Combine Visual and Conceptual Features to Support Goal-Oriented Behavior?	Bruce Hansen	Methods, Tools, Theory & Neural Coding
A35	Uncovering Multi-Regional Inputs Using Input-Driven Switching Recurrent Neural Networks	Yongxu Zhang	Methods, Tools, Theory & Neural Coding
A36	A new code for position: flat neural maps in mouse medial frontal cortex	Rajyashree Sen	Methods, Tools, Theory & Neural Coding
A37	Learning Optimally Fast: a Normative Theory Balancing Effort and Performance	Rodrigo Carrasco-Davis	Methods, Tools, Theory & Neural Coding
A38	Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents	Satpreet H. Singh	Methods, Tools, Theory & Neural Coding
A39	Fast Whole-Brain, Geometry-Aware Functional Alignment for Cross-Subject Decoding	Pierre-Louis Barbarant	Methods, Tools, Theory & Neural Coding
A40	Characterizing Temporal Dynamics of Sleep as a Function of Heart Rate Variability: A Digital Mental Health Approach	Tvisha Shah	Development, Individual Differences & Clinical Populations
A41	Neural attractor dynamics predict relapse after rapid pharamacological perturbation of mood in difficult-to-treat depression	Selena Singh	Development, Individual Differences & Clinical Populations
A42	Age-related differences in structure learning drive foraging behavior in a multimodal patch-leaving task	X Roger Chen	Development, Individual Differences & Clinical Populations
A43	Internal noise, not error correction, limits the development of synchronization and adaptation	Michal Dobner	Development, Individual Differences & Clinical Populations
A44	Variability in Young Children's Everyday Visual Experiences of Object Categories	Jane Yang	Development, Individual Differences & Clinical Populations
A45	Integrating vision and language in long-term memory metamers	Abe Leite	Memory, Learning & Knowledge Structures
A46	What Makes a Category Memorable? Human Conceptual Diversity Outpredicts Perceptual Similarity and Deep Neural Networks	Dyllan Simpson	Memory, Learning & Knowledge Structures
A47	Task demands and inductive biases jointly shape the generality of working memory gating policies	Aalok Sathe	Memory, Learning & Knowledge Structures
A48	Human Single Neurons and Predictive Models Remap Differently in Reward and Transition Relearning	Weijia Zhang	Memory, Learning & Knowledge Structures
A49	Context-Dependent Relational Warping Underlies Triangle Inequality Violations in a Large Language Model	Sunsikham	Memory, Learning & Knowledge Structures
A50	Individual Variation in Non-Spatial Navigation is Related to Adaptive Learning and Use of Successor Representations	Aaron Bornstein	Memory, Learning & Knowledge Structures
A51	Human Causal Reasoning Demonstrates Neurosymbolic Structure in Exploration-driven Benchmarks	Rachel Papirmeister	Memory, Learning & Knowledge Structures
A52	Inhibitory signals support working memory in sensory cortex	Robert Kim	Memory, Learning & Knowledge Structures
A53	Keep it in Sight: Reward Function Compression Through Goal Visibility	Xitong Chen	Memory, Learning & Knowledge Structures
A54	Learning Flexible Task Representations from Temporal and Sequential Regularities in Continuous Experience	Aidan Higgs	Memory, Learning & Knowledge Structures
A55	Learning the paths to goals in the absence of reward	Yunchang Zhang	Memory, Learning & Knowledge Structures
A56	Timing of Guidance Shapes Experiential Learning	Divya Srinivasan	Memory, Learning & Knowledge Structures
A57	A mathematical theory of hippocampal repulsion	Samuel Lippl	Memory, Learning & Knowledge Structures
A58	Adaptive Online Learning of Structured Abstractions in Visual Problem-Solving	Ivan Zareski	Memory, Learning & Knowledge Structures
A59	Interactions Between Features and Conjunctions during Category Learning	Heeseung Lee	Memory, Learning & Knowledge Structures
A60	AI-Assisted writing may create an illusion of learning by dissociating performance from durable memory	Abigail M. Daems	Memory, Learning & Knowledge Structures
A61	The Dataset Matters: Linking Image Memorability to Adversarial Robustness	Ehsan Ur Rahman Mohammed	Memory, Learning & Knowledge Structures
A62	Deep Learning Models of Attention Reveal Peripheral Encoding as a Bottleneck for Selective Listening Through Cochlear Implants	Annesya Banerjee	Auditory, Speech & Language Processing
A63	A Low-Rank GPT-2 XL Subspace Captures Linear Alignment with Intracranial Responses during Language Listening	Zachary Paris	Auditory, Speech & Language Processing
A64	Learning Language by Listening: A Computational Learnability Account	Greta Tuckute	Auditory, Speech & Language Processing
A65	Evaluating EMEG and ECoG Modalities for Brain-LLM Alignment in Speech Perception	Chentianyi Yang	Auditory, Speech & Language Processing
A66	When the Whole Shapes the Parts: Local-Global Interactions in Auditory Perception	Berfin Bastug	Auditory, Speech & Language Processing
A67	Neural Indices of Language Processing are Enhanced during Interactive Conversation	Calli Smith	Auditory, Speech & Language Processing
A68	A Parametric Continuum for Probing Visual Speech Representations	Emma Zhang	Auditory, Speech & Language Processing
A69	Remembered dialogue can shift alignment-relevant behavior in LLMs, with conditional effects of source credibility	Chad DeChant	Auditory, Speech & Language Processing
A70	Neural Encoding of Syntactic Movement in English but Not Chinese	Yuhan Huang	Auditory, Speech & Language Processing
A71	Recycling and Co-option Are Dissociable Mechanisms of Cortical Reorganization	Lauren S Aulet	Computational Models of Vision & Visual Cortex
A72	Using Motion-guided Foveation to Improve Physical Prediction in Latent Representation Video Models	Xiangzhou Sun	Computational Models of Vision & Visual Cortex
A73	NeuroTIMM: Harmonizing the TIMM Model Zoo with Human Visual Strategies	Akash Nagaraj	Computational Models of Vision & Visual Cortex
A74	Large-scale vision models show sparks of visual reasoning from natural image training	Thomas Serre	Computational Models of Vision & Visual Cortex
A75	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
A76	Separating Numerosity and Proportion Representations Through Pretraining	Yechan Cho	Computational Models of Vision & Visual Cortex
A77	ANNs that perform well on a Gestalt benchmark from Brain-Score do not support human-like Gestalt processing	Jeffrey Bowers	Computational Models of Vision & Visual Cortex
A78	A tale of two tails: Preferred and anti-preferred natural stimuli in visual cortex	Rabia Gondur	Computational Models of Vision & Visual Cortex
A79	Representational dynamics in inferotemporal cortex depend on image manifold scale	Ammar I Marvi	Computational Models of Vision & Visual Cortex
A80	Unlearnability of Symmetry-based Visual Relations by Deep Neural Networks	Guillermo Puebla	Computational Models of Vision & Visual Cortex
A81	The role of shape and local features in human object recognition and learning	Allan R. Schneider	Computational Models of Vision & Visual Cortex
A82	Mapping Social Trait Judgments on the Human Cerebral Cortex Using Naturalistic, Dynamic Stimuli	Po-Yuan Alan Hsiao	Computational Models of Vision & Visual Cortex
A83	Downsampled Representations Improve Cross-Model Transfer in hV4 Encoding-Model Metamers	Hayato Ono	Computational Models of Vision & Visual Cortex
A84	Model-derived Minimal Image Pairs Predict Differential Responses in Human Scene-Selective Cortex	Junxia Wang	Computational Models of Vision & Visual Cortex
A85	Rethinking the inversion effect as a graded phenomenon across object categories	Jakob Winkler	Computational Models of Vision & Visual Cortex
A86	Origins of Category Selectivity: Natural Image Statistics Are Necessary but Not Sufficient	Bowen Zheng	Computational Models of Vision & Visual Cortex
A87	Contrastive Self-Supervised Learning in Higher Visual Cortex	Daniel D. Kato	Computational Models of Vision & Visual Cortex
A88	Deep Neural Network Models Capture Ventral Stream Predictivity at Cross-Animal Consistency	Josh Wilson	Computational Models of Vision & Visual Cortex
A89	Circuit motifs underlying representational untangling	Jeffery W. Andrade	Computational Models of Vision & Visual Cortex
A90	Do Better Visual Question Answering Models Attend More Like Humans?	Aiqing Li	Computational Models of Vision & Visual Cortex
A91	Simple 3D Pose Features Support Human and Machine Social Scene Understanding	Wenshuo Qin	Computational Models of Vision & Visual Cortex
A92	Prenatal retinal waves generate the proto-architecture of newborn visual systems	Samantha Marie Waters Wood	Computational Models of Vision & Visual Cortex
A93	Temporal dynamics and location tolerance of object category representation are unaffected by the presence of multiple objects	Rotem Krispil	Computational Models of Vision & Visual Cortex
A94	A Benchmark for Physical Object Relationship Perception in Humans and Machines	Georgina Woo	Computational Models of Vision & Visual Cortex
A95	Decoding implied motion magnitude using fMRI activity	Koustav Banerjee	Computational Models of Vision & Visual Cortex
A96	Unifying discrimination and generation in one architecture	Imran Thobani	Computational Models of Vision & Visual Cortex
A97	Directional Confusions Reveal Inductive Bias Through Rate–Distortion Geometry in Human and Machine Vision	Leyla Roksan Caglar	Computational Models of Vision & Visual Cortex
A98	Divisive normalization masquerades as predictive processing in visual cortex	Ningkai Wang	Computational Models of Vision & Visual Cortex
A99	Manipulating human gaze reveals a cost structure of natural visual search	Hyunwoo Gu	Computational Models of Vision & Visual Cortex