Poster Session F

Thursday, August 6, 1:45 – 3:30 pm, Posters 1-22 are in Shorin Room, posters 23-103 are in Rosenthal Room

Poster	Title	Presenter	Topic Area
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