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Poster Session B

Tuesday, August 4, 2:00 – 3:45 pm, Posters 1-22 are in Shorin Room, posters 23-103 are in Rosenthal Room

Poster

Title 

Presenter

Topic Area

B

A Minimal Model of Bounded Trade-Off Screening in Multi-Attribute Choice

Anirban Sarkar

Decision-Making, Cognitive Control & Event Cognition

B

A Probe-Based Detector Using Saliency Divergence, Gradients, and Layer Sensitivity

Yalda Mohsenzadeh

Methods, Tools, Theory & Neural Coding

B

A resource of encoding models for in silico neuroscience

Alessandro Thomas Gifford

Methods, Tools, Theory & Neural Coding

B

A structured population code for a symbolic action grammar

Lucas Y. Tian

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

Adaptive estimation of individual sensory representations

Josue Casco-Rodriguez

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

An affordance perspective of dynamic pursuit and emergent change of mind in artificial agents

Jungsuk James Lee

Decision-Making, Cognitive Control & Event Cognition

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

Analogical Reasoning Abilities of MLLMs, Children and Adults on Bongard Problems

Marit Metz

Development, Individual Differences & Clinical Populations

B

Asymmetric Interruption Costs Reflect Transition Structure Shaped by Task-Neutral Attractors

Takuro Zama

Decision-Making, Cognitive Control & Event Cognition

B

Attention Gain as a Learning Mechanism in a Visual Search Meta-Task

Christos Karaneen

Computational Models of Vision & Visual Cortex

B

Attractor dynamics in primate retrosplenial cortex support goal-proximal spatial information processing

Seunghan Lee

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

Bayesian linear encoding to evaluate models on neuroimaging data

Juan Jesús Torre Tresols

Methods, Tools, Theory & Neural Coding

B

Behavioral and neural correlates of conflict prediction

Hans Kirschner

Decision-Making, Cognitive Control & Event Cognition

B

Brain Foundation Model Representations of Naturalistic Emotional Dynamics

Elena Skoullou

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

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

Characterizing and modeling time-varying object percepts evoked by naturalistic video

Lynn K. A. Sörensen

Computational Models of Vision & Visual Cortex

B

Characterizing Decision Strategies from Think-Aloud in Risky Choice

Cierra Ferguson

Decision-Making, Cognitive Control & Event Cognition

B

CogMaze: A Benchmark of Egocentric Spatial Understanding in Humans and Vision-Language Models

Harvey Donnelly

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

Connectome-Constrained Spiking Networks Reproduce Emergent Computations in Larval Olfactory Pathway

Jordan Watts

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

Cortical timescale representations are longer in second than in first language

Mathis Lamarre

Auditory, Speech & Language Processing

B

Distribution shift predicts the dynamics of 3D perception

Václav Knapp

Computational Models of Vision & Visual Cortex

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

Do Social Micro-processes Emerge in Multimodal Language Models? A Case Study of Egocentric Referential Communication

Dota Tianai Dong

Auditory, Speech & Language Processing

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

Early-life environments shape reinforcement learning computations across development

Nora C. Harhen

Development, Individual Differences & Clinical Populations

B

Efficiency and noise processing in early visual system

Harini Sudha J G

Computational Models of Vision & Visual Cortex

B

Efficient Multi Subject Visual Reconstruction from fMRI Using Aligned Representations

Christos Zangos

Methods, Tools, Theory & Neural Coding

B

Emergent Demand-Driven Precision in Neural Networks Optimized for Multiple Object Tracking

Sun Minni

Computational Models of Vision & Visual Cortex

B

Encodings of multimodal conversational behavior predict trait impressions

Landry Bulls

Methods, Tools, Theory & Neural Coding

B

Estimating the generative model underlying stochastic processes drives auditory perception

Clémentine Lévy-Fidel

Auditory, Speech & Language Processing

B

Feedback-gated synaptic modulation enables context-dependent computation in recurrent neural networks

Jingcheng Shi

Methods, Tools, Theory & Neural Coding

B

Folk Psychological Structure of Mind in Large Language Models

Rachel Charlotte Metzgar

Auditory, Speech & Language Processing

B

Foveated multiview models of human 3D shape perception

Stephanie Fu

Computational Models of Vision & Visual Cortex

B

Functional Localization as a Path to a Cumulative Research Enterprise in Human Intracranial Research

Suseendrakumar Duraivel

Methods, Tools, Theory & Neural Coding

B

Goal-pursuit strategies in volatile environments

Eleanor Holton

Decision-Making, Cognitive Control & Event Cognition

B

Heterogeneous Time Constants Enhance Robustness in Equilibrium Propagation

Yoshimasa Kubo

Methods, Tools, Theory & Neural Coding

B

Hierarchical Temporal Expectations

Maysan Bader

Auditory, Speech & Language Processing

B

How do RNNs encode mixtures? One mechanism for three geometries

Esther Poniatowski

Methods, Tools, Theory & Neural Coding

B

How losses change the way we search: valence effects on generalization-guided exploration

Ingrid Martin

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

Independent-Component-Based Encoding Models of Brain Activity During Story Comprehension

Anna A Ivanova

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

INVERSE MODELING OF AUDITORY CORTICAL-SUBCORTICAL DYNAMICS FROM SCALP EEG SIGNALS VIA JOINT PSD NETWORKS

Shourya Verma

Methods, Tools, Theory & Neural Coding

B

Investigating Invariances in Auditory Event Categorization with Model Metamers

Hee So Kim

Auditory, Speech & Language Processing

B

Learning a Max-Entropy Diffusion Model for Visual Textures

Xinyuan Zhao

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

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

Modeling human echolocation using a Kalman filter

Sofia Krasovskaya

Auditory, Speech & Language Processing

B

Modern Machine Systems Exhibit Superhuman Speech Recognition

Annika Magaro

Auditory, Speech & Language Processing

B

Modularity maximization reveals network-level organization and synaptic localization

Gabrielle J. Gutierrez

Methods, Tools, Theory & Neural Coding

B

Neural Typicality in Naturalistic fMRI Defines an Interpretable Representation for Clinical Classification

Michal Ramot

Development, Individual Differences & Clinical Populations

B

NeuralPlayground: A Standardised Environment for Evaluating Models of Hippocampus and Entorhinal Cortex

Clémentine Carla Juliette Dominé

Methods, Tools, Theory & Neural Coding

B

Not all uncertainty promotes exploration

Fukun Evelene Zhang

Decision-Making, Cognitive Control & Event Cognition

B

Nothing from Something: Can a Language Model Discover 0?

Phoebe Zeng

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

Orthogonal Task Representation Enables Flexible Task Switching in Human OPM-MEG and Neural Networks

Xiaoyi Liu

Methods, Tools, Theory & Neural Coding

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

Outcome-driven decisions dominate causal inference in autism across species

Aviel Sulem

Development, Individual Differences & Clinical Populations

B

Parameter symmetries determine representational geometry in overparameterized nonlinear networks

Erin Grant

Methods, Tools, Theory & Neural Coding

B

Perceived partner complexity affects agency attribution and asymmetries in reinforcement learning

Sepehr Razavi

Decision-Making, Cognitive Control & Event Cognition

B

Power-Law Enhancement for Rate-Based Binding in Object-Centric Perception

Ishanvir S. Choongh

Computational Models of Vision & Visual Cortex

B

Predicting Individualized Functional Topographies in Autism Spectrum Disorder

Ian Abenes

Development, Individual Differences & Clinical Populations

B

Predicting Sound Detection in Auditory Scenes Using Task-Optimized Neural Networks

Sagarika Alavilli

Auditory, Speech & Language Processing

B

Protracted development of receptive field tuning in human auditory cortex

Oyindamola Ogunlade

Auditory, Speech & Language Processing

B

Quantifying information gain in narrative stimuli using open-source large language models

Aidan Goeschel

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

Representational Geometry of Optic Flow Determines Heading Direction Encoding in Macaque MSTd

Nathaniel Powell

Computational Models of Vision & Visual Cortex

B

Self-Supervised Modelling of Social Primitives in Human Dyads

Thibaut Chataing

Development, Individual Differences & Clinical Populations

B

Semantic efficiency and human-alignment in multilingual multimodal large language models

Nathaniel Imel

Auditory, Speech & Language Processing

B

Serial Dependence in Value-based Decisions Is Gated by Uncertainty

Ling Huang

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

Spatial uncertainty underlies geometric distortions in navigation and grid cell tuning

Yul HR Kang

Methods, Tools, Theory & Neural Coding

B

Spectral structure of rehabilitation experience constrains behavioural recovery after stroke

Noor Sajid

Methods, Tools, Theory & Neural Coding

B

Speed vs. Accuracy in aDDM Inference: Where Shortcuts Fail!

Andrew Zhang

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

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

Task Demands Dynamically Structure Feature Selection, Routing, and Integration in the Human Brain

Yuening Yan

Computational Models of Vision & Visual Cortex

B

Task-guided cross-subject latent alignment: a multi-encoder-decoder VAE

Angeliki Papathanasiou

Methods, Tools, Theory & Neural Coding

B

Testing theories of segment-based neural representation in macaque V1

Tridib Kalyan Biswas

Computational Models of Vision & Visual Cortex

B

The Role of Prior Precision and Prior Probability in Voice Perception

Carina Ufer

Auditory, Speech & Language Processing

B

The Transformer May Be the Universal Cortical Microcircuit

Yash Shah

Computational Models of Vision & Visual Cortex

B

Topographic constraints shape brain-like component structure in auditory models

Haider Al-Tahan

Auditory, Speech & Language Processing

B

Tracing Sparse Feature Circuits in Vision Transformers

Zirui Hu

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

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

Using Transformer Attention to Assess How Temporal Integration in Music Relates to Aesthetic Pleasure

Edward A Vessel

Auditory, Speech & Language Processing

B

Vision Models Capture Complementary Representations in Children That Converge in Adults

Domenic Bersch

Development, Individual Differences & Clinical Populations

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

What Does the Global Latent Workspace Learn?

Sixuan Chen

Methods, Tools, Theory & Neural Coding