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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
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A |
Task demands and inductive biases jointly shape the generality of working memory gating policies |
Aalok Sathe |
Memory, Learning & Knowledge Structures |
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A |
Aarat Satsangi |
Development, Individual Differences & Clinical Populations |
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A |
Integrating vision and language in long-term memory metamers |
Abe Leite |
Memory, Learning & Knowledge Structures |
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A |
Abigail M. Daems |
Memory, Learning & Knowledge Structures |
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A |
Measuring Internal Representational Alignment between Conceptual Metaphor Domains |
Afjal Chowdhury |
Methods, Tools, Theory & Neural Coding |
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A |
Agata Feledyn |
Methods, Tools, Theory & Neural Coding |
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A |
Ahhyun Lucy Lee |
Methods, Tools, Theory & Neural Coding |
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A |
Aidan Higgs |
Memory, Learning & Knowledge Structures |
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A |
Do Better Visual Question Answering Models Attend More Like Humans? |
Aiqing Li |
Computational Models of Vision & Visual Cortex |
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A |
NeuroTIMM: Harmonizing the TIMM Model Zoo with Human Visual Strategies |
Akash Nagaraj |
Computational Models of Vision & Visual Cortex |
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A |
Alexa Booras |
Memory, Learning & Knowledge Structures |
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A |
Ali Ekhlasi |
Methods, Tools, Theory & Neural Coding |
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A |
The role of shape and local features in human object recognition and learning |
Allan R. Schneider |
Computational Models of Vision & Visual Cortex |
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A |
Representational dynamics in inferotemporal cortex depend on image manifold scale |
Ammar I Marvi |
Computational Models of Vision & Visual Cortex |
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A |
Meta-learning In-Context Enables Training-Free Cross Subject Decoding of Vision and Motor |
Andrew F. Luo |
Methods, Tools, Theory & Neural Coding |
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A |
Annesya Banerjee |
Auditory, Speech & Language Processing |
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A |
Arman Behrad |
Methods, Tools, Theory & Neural Coding |
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A |
Predicting EEG Spectrograms from fMRI to Identify Brainwide Activity Underlying Neural Rhythms |
Arnav Aggarwal |
Methods, Tools, Theory & Neural Coding |
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A |
RSVP-induced ERP Class Posteriors Reflect Graded Neural Perception of Humanoid Images |
Basak Celik |
Methods, Tools, Theory & Neural Coding |
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A |
When the Whole Shapes the Parts: Local-Global Interactions in Auditory Perception |
Berfin Bastug |
Auditory, Speech & Language Processing |
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A |
Origins of Category Selectivity: Natural Image Statistics Are Necessary but Not Sufficient |
Bowen Zheng |
Computational Models of Vision & Visual Cortex |
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A |
Bruce Hansen |
Methods, Tools, Theory & Neural Coding |
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A |
Parallel synapses and divisive normalization enhance classification capacity |
Caitlin Lienkaemper |
Methods, Tools, Theory & Neural Coding |
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A |
Neural Indices of Language Processing are Enhanced during Interactive Conversation |
Calli Smith |
Auditory, Speech & Language Processing |
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A |
Camille L. Grasso |
Methods, Tools, Theory & Neural Coding |
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A |
Signatures of discrete action representations emerge in a task-optimized neuro-symbolic model |
Carlos G. Correa |
Methods, Tools, Theory & Neural Coding |
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A |
Chad DeChant |
Auditory, Speech & Language Processing |
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A |
Evaluating EMEG and ECoG Modalities for Brain-LLM Alignment in Speech Perception |
Chentianyi Yang |
Auditory, Speech & Language Processing |
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A |
Neural implementation of temporal difference error via meta reinforcement learning |
Christopher M Kim |
Methods, Tools, Theory & Neural Coding |
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A |
PyDDMBayes: A Multilevel Bayesian Framework for Generalized Drift-Diffusion Modeling |
Covert Geary |
Methods, Tools, Theory & Neural Coding |
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A |
Cécile Abati |
Methods, Tools, Theory & Neural Coding |
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A |
Contrastive Self-Supervised Learning in Higher Visual Cortex |
Daniel D. Kato |
Computational Models of Vision & Visual Cortex |
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A |
Daniel LK Yamins |
Computational Models of Vision & Visual Cortex |
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A |
Divya Srinivasan |
Memory, Learning & Knowledge Structures |
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A |
Dyllan Simpson |
Memory, Learning & Knowledge Structures |
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A |
A Parametric Continuum for Probing Visual Speech Representations |
Emma Zhang |
Auditory, Speech & Language Processing |
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A |
A Benchmark for Physical Object Relationship Perception in Humans and Machines |
Georgina Woo |
Computational Models of Vision & Visual Cortex |
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A |
Learning Language by Listening: A Computational Learnability Account |
Greta Tuckute |
Auditory, Speech & Language Processing |
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A |
Unlearnability of Symmetry-based Visual Relations by Deep Neural Networks |
Guillermo Puebla |
Computational Models of Vision & Visual Cortex |
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A |
Downsampled Representations Improve Cross-Model Transfer in hV4 Encoding-Model Metamers |
Hayato Ono |
Computational Models of Vision & Visual Cortex |
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A |
Interactions Between Features and Conjunctions during Category Learning |
Heeseung Lee |
Memory, Learning & Knowledge Structures |
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A |
Manipulating human gaze reveals a cost structure of natural visual search |
Hyunwoo Gu |
Computational Models of Vision & Visual Cortex |
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A |
Interpreting Neural Encoding Models: Voxel-Level Feature Discovery with Causal Validation |
Idan Daniel Grosbard |
Methods, Tools, Theory & Neural Coding |
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A |
Imran Thobani |
Computational Models of Vision & Visual Cortex |
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A |
Adaptive Online Learning of Structured Abstractions in Visual Problem-Solving |
Ivan Zareski |
Memory, Learning & Knowledge Structures |
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A |
Rethinking the inversion effect as a graded phenomenon across object categories |
Jakob Winkler |
Computational Models of Vision & Visual Cortex |
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A |
Variability in Young Children's Everyday Visual Experiences of Object Categories |
Jane Yang |
Development, Individual Differences & Clinical Populations |
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A |
Jeffery W. Andrade |
Computational Models of Vision & Visual Cortex |
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A |
Jeffrey Bowers |
Computational Models of Vision & Visual Cortex |
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John J. Vastola |
Methods, Tools, Theory & Neural Coding |
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Othello-GPT Does Not Have a World Model: Lessons for Attributing World Models to Neural Systems |
John Morrison |
Methods, Tools, Theory & Neural Coding |
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A |
Deep Neural Network Models Capture Ventral Stream Predictivity at Cross-Animal Consistency |
Josh Wilson |
Computational Models of Vision & Visual Cortex |
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Model-derived Minimal Image Pairs Predict Differential Responses in Human Scene-Selective Cortex |
Junxia Wang |
Computational Models of Vision & Visual Cortex |
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A |
K. Seeliger |
Methods, Tools, Theory & Neural Coding |
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A |
Latent-fMRI: Latent Neural Representations in Naturalistic fMRI using Contrastive Learning |
Kajal Singla |
Methods, Tools, Theory & Neural Coding |
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A |
Koustav Banerjee |
Computational Models of Vision & Visual Cortex |
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Recycling and Co-option Are Dissociable Mechanisms of Cortical Reorganization |
Lauren S Aulet |
Computational Models of Vision & Visual Cortex |
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A |
Leyla Roksan Caglar |
Computational Models of Vision & Visual Cortex |
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Representation can dissociate from function and behaviour in task-optimised vision networks |
Marvin Theiss |
Methods, Tools, Theory & Neural Coding |
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A |
Neuroscience-Inspired Analyses of Visual Interestingness in Multimodal Transformers |
Mathis Immertreu |
Methods, Tools, Theory & Neural Coding |
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A |
Internal noise, not error correction, limits the development of synchronization and adaptation |
Michal Dobner |
Development, Individual Differences & Clinical Populations |
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A |
Directed connectivity mapping through a self-attention mechanism in the human brain foundation model |
Myeonggyo Jeong |
Methods, Tools, Theory & Neural Coding |
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A |
Astrocyte-Inspired Modulation for Robust Explanations in Vision Transformers |
Nicolas Echevarrieta-Catalan |
Methods, Tools, Theory & Neural Coding |
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A |
Divisive normalization masquerades as predictive processing in visual cortex |
Ningkai Wang |
Computational Models of Vision & Visual Cortex |
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A |
Fast Whole-Brain, Geometry-Aware Functional Alignment for Cross-Subject Decoding |
Pierre-Louis Barbarant |
Methods, Tools, Theory & Neural Coding |
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Mapping Social Trait Judgments on the Human Cerebral Cortex Using Naturalistic, Dynamic Stimuli |
Po-Yuan Alan Hsiao |
Computational Models of Vision & Visual Cortex |
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A tale of two tails: Preferred and anti-preferred natural stimuli in visual cortex |
Rabia Gondur |
Computational Models of Vision & Visual Cortex |
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A |
Human Causal Reasoning Demonstrates Neurosymbolic Structure in Exploration-driven Benchmarks |
Rachel Papirmeister |
Memory, Learning & Knowledge Structures |
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A |
A new code for position: flat neural maps in mouse medial frontal cortex |
Rajyashree Sen |
Methods, Tools, Theory & Neural Coding |
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A |
Robert Kim |
Memory, Learning & Knowledge Structures |
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Learning Optimally Fast: a Normative Theory Balancing Effort and Performance |
Rodrigo Carrasco-Davis |
Methods, Tools, Theory & Neural Coding |
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A |
Bottom-up Modeling of Striatum and its Brain Circuit Interactions |
Romina Ahmadi |
Methods, Tools, Theory & Neural Coding |
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A |
Hyperthermia affects heterogeneity of neuronal network inducing abnormal synchronization |
Rosangela Follmann |
Methods, Tools, Theory & Neural Coding |
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A |
Rotem Krispil |
Computational Models of Vision & Visual Cortex |
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Ryuto Yashiro |
Methods, Tools, Theory & Neural Coding |
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A |
Salar Nouri |
Methods, Tools, Theory & Neural Coding |
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Prenatal retinal waves generate the proto-architecture of newborn visual systems |
Samantha Marie Waters Wood |
Computational Models of Vision & Visual Cortex |
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A |
Samuel Lippl |
Memory, Learning & Knowledge Structures |
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Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents |
Satpreet H. Singh |
Methods, Tools, Theory & Neural Coding |
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A |
Selena Singh |
Development, Individual Differences & Clinical Populations |
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Sunsikham |
Memory, Learning & Knowledge Structures |
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Automated Adversarial Collaboration for Advancing Theory Building in the Cognitive Sciences |
Suyog Chandramouli |
Methods, Tools, Theory & Neural Coding |
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A |
Large-scale vision models show sparks of visual reasoning from natural image training |
Thomas Serre |
Computational Models of Vision & Visual Cortex |
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A |
Driving in the scanner: a versatile platform for studying naturalistic human spatial navigation |
Tianjiao Zhang |
Methods, Tools, Theory & Neural Coding |
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A |
Tvisha Shah |
Development, Individual Differences & Clinical Populations |
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Human Single Neurons and Predictive Models Remap Differently in Reward and Transition Relearning |
Weijia Zhang |
Memory, Learning & Knowledge Structures |
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A |
Simple 3D Pose Features Support Human and Machine Social Scene Understanding |
Wenshuo Qin |
Computational Models of Vision & Visual Cortex |
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A |
Optimally Structured Mixed Selectivity. A Normative Theory of Control in Neural Circuits |
Will Dorrell |
Methods, Tools, Theory & Neural Coding |
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A |
Biasing optimization to find more informative model metamers |
William F. Broderick |
Methods, Tools, Theory & Neural Coding |
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A |
X Roger Chen |
Development, Individual Differences & Clinical Populations |
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Using Motion-guided Foveation to Improve Physical Prediction in Latent Representation Video Models |
Xiangzhou Sun |
Computational Models of Vision & Visual Cortex |
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A |
Keep it in Sight: Reward Function Compression Through Goal Visibility |
Xitong Chen |
Memory, Learning & Knowledge Structures |
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A |
Separating Numerosity and Proportion Representations Through Pretraining |
Yechan Cho |
Computational Models of Vision & Visual Cortex |
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A |
Anatomy-Aware Masked Image Modeling for Self-Supervised Learning on 3D Brain MRI |
Yeonwoo Kim |
Methods, Tools, Theory & Neural Coding |
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A |
Uncovering Multi-Regional Inputs Using Input-Driven Switching Recurrent Neural Networks |
Yongxu Zhang |
Methods, Tools, Theory & Neural Coding |
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Neural Encoding of Syntactic Movement in English but Not Chinese |
Yuhan Huang |
Auditory, Speech & Language Processing |
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A |
Yunchang Zhang |
Memory, Learning & Knowledge Structures |
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A |
Zachary Paris |
Auditory, Speech & Language Processing |
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Zeyu Jing |
Methods, Tools, Theory & Neural Coding |
