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Poster Session C
Wednesday, August 5, 9:30 – 11:15 am, Posters 1-22 are in Shorin Room, posters 23-103 are in Rosenthal Room
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C1 |
How Do You Know It’s Real? Controlling False Positives in Whole-Brain Neural Decoding |
Zihan Li |
Methods, Tools, Theory & Neural Coding |
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C2 |
Computational Mechanisms of Decision Uncertainty During Decision-Making in Worry |
Mahalia Prater Fahey |
Development, Individual Differences & Clinical Populations |
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C3 |
Deafness and Sign Language Experience Uniquely Shift Visual Category Representations |
Edan Daniel-Hertz |
Development, Individual Differences & Clinical Populations |
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C4 |
Neural Typicality During Naturalistic 7T fMRI Reflects Cognitive Performance in Multiple Sclerosis |
Ido Har-Shalom |
Development, Individual Differences & Clinical Populations |
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C5 |
A data-driven approach for identifying multi-domain connectivity signatures |
Alexa Mousley |
Development, Individual Differences & Clinical Populations |
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C6 |
Attentional Alignment in Abstract Reasoning across Developing Minds and Machines |
Eva R. Wardenaar |
Development, Individual Differences & Clinical Populations |
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C7 |
Haoyu Du |
Development, Individual Differences & Clinical Populations |
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C8 |
The Baby Intuitions Benchmark 2: Evaluating Social Intelligence in Humans and Machines |
Shannon Yasuda |
Development, Individual Differences & Clinical Populations |
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C9 |
A baby-step toward belief updating constructs: generalizability across two task variants |
Magdalena Del Rio |
Development, Individual Differences & Clinical Populations |
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C10 |
Farzin Hajebrahimi |
Development, Individual Differences & Clinical Populations |
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C11 |
Olivia Maltz |
Development, Individual Differences & Clinical Populations |
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C12 |
The aging of creative problem solving revealed by the dynamics of latent cognitive-behavioral states |
Zhang Xuhui |
Development, Individual Differences & Clinical Populations |
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C13 |
Biophysical modeling of inter-brain synchrony during social and non-social interaction |
Xiaojun Zhou |
Development, Individual Differences & Clinical Populations |
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C14 |
Daniel Deng |
Decision-Making, Cognitive Control & Event Cognition |
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C15 |
Shared and Distinct Neural Responses at Event Boundaries and Task Transitions |
Zhuoyang Li |
Decision-Making, Cognitive Control & Event Cognition |
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C16 |
Dynamic belief state representations in human orbitofrontal cortex under uncertainty |
Theo AJ Schäfer |
Decision-Making, Cognitive Control & Event Cognition |
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C17 |
Kanji Shimomura |
Decision-Making, Cognitive Control & Event Cognition |
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C18 |
Foraging minds: computational and neural foundations of perceptual flexibility |
Claire Sturgill |
Decision-Making, Cognitive Control & Event Cognition |
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C19 |
Humans automatically assign credit to outcome-irrelevant features |
Ido Ben-Artzi |
Decision-Making, Cognitive Control & Event Cognition |
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C20 |
Super-diffusive memory search drives fast and accurate decisions |
Euan Prentis |
Decision-Making, Cognitive Control & Event Cognition |
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C21 |
Beyond search: reframing problem solving through cached solutions |
Shuze Liu |
Decision-Making, Cognitive Control & Event Cognition |
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C22 |
Polina Arbuzova |
Decision-Making, Cognitive Control & Event Cognition |
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C23 |
Do you know what you can do? Measuring self-efficacy in sequential decision making |
Jing Li |
Decision-Making, Cognitive Control & Event Cognition |
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C24 |
Planning as a Cognitive Cost that Discourages Goal Switching |
Luke Cho |
Decision-Making, Cognitive Control & Event Cognition |
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C25 |
Domian-Specific Stimulus Coding and Domain-General Confidence Signals Across Cognitive Tasks |
Xun Chen |
Decision-Making, Cognitive Control & Event Cognition |
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C26 |
Proactive-Like Context Processing Emerges in Transformers Learning Simple Cognitive Tasks |
Krishn Bera |
Decision-Making, Cognitive Control & Event Cognition |
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C27 |
Will, Won’t, Want, and Wont: A Reinforcement Learning Model of Self-control |
Sahiti Chebolu |
Decision-Making, Cognitive Control & Event Cognition |
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C28 |
Siddhant Iyer |
Decision-Making, Cognitive Control & Event Cognition |
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C29 |
Assessing Value Normalization and Habit Explanations in the Reward Pairs Task: a Simulation Study |
Viktor Timokhov |
Decision-Making, Cognitive Control & Event Cognition |
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C30 |
Trapped in planning: a computational study of episodic memory-guided decision making |
Ming Bo Cai |
Decision-Making, Cognitive Control & Event Cognition |
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C31 |
Reaction time and EEG suggest different combination patterns for Simon and flanker conflict |
Jonathan Feldman |
Decision-Making, Cognitive Control & Event Cognition |
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C32 |
Geometric Signatures of Event Boundaries in Brain Foundation Models |
Kyungjin Oh |
Decision-Making, Cognitive Control & Event Cognition |
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C33 |
Decomposing iconic memory decay with a joint-feature model of structured errors |
Gal Vishne |
Memory, Learning & Knowledge Structures |
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C34 |
Surabhi S Nath |
Memory, Learning & Knowledge Structures |
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C35 |
Learning Long-Range Temporal Dependencies Through Sleep-Inspired Acceleration |
Nicholas Soures |
Memory, Learning & Knowledge Structures |
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C36 |
Dimensional Doubt is Selectively Associated with Metacognition for Non-Occurrences |
Matan Mazor |
Memory, Learning & Knowledge Structures |
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C37 |
Specialized Computations for Generalized World Modelling in Prefrontal Cortex |
Fahd Yazin |
Memory, Learning & Knowledge Structures |
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C38 |
Gabriel Arthur Daniel Kressin Palacios |
Memory, Learning & Knowledge Structures |
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C39 |
Soroush Mirjalili |
Memory, Learning & Knowledge Structures |
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C40 |
Muhammad Hashim Satti |
Memory, Learning & Knowledge Structures |
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C41 |
Mechanistic Model of Salience-Gated Memory Consolidation via the Anteromedial Thalamus |
Stephan Kim |
Memory, Learning & Knowledge Structures |
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C42 |
Complementary learning dynamics within neocortex and hippocampus |
Zoya Khan |
Memory, Learning & Knowledge Structures |
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C43 |
Martin Wiener |
Memory, Learning & Knowledge Structures |
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C44 |
Modeling Human Reasoning Errors on ARC with Natural Language Programs |
Jinran Jin |
Memory, Learning & Knowledge Structures |
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C45 |
SI MA |
Memory, Learning & Knowledge Structures |
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C46 |
A Distributed Cortical Network Integrates Semantic Representations of Number, Space, and Time |
Evi Hendrikx |
Memory, Learning & Knowledge Structures |
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C47 |
Divergent working memory dynamics in biological and recurrent neural networks |
Daria Kussovska |
Memory, Learning & Knowledge Structures |
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C48 |
Sahithyan Sivakumaran |
Memory, Learning & Knowledge Structures |
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C49 |
Emergent Superstitious Learning Behaviors and Computations in Neuromodulated Plastic Neural Networks |
Yuhao Jin |
Memory, Learning & Knowledge Structures |
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C50 |
Bingqing Chen |
Memory, Learning & Knowledge Structures |
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C51 |
Henrike Flimm |
Memory, Learning & Knowledge Structures |
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C52 |
Zacharie Bugaud |
Memory, Learning & Knowledge Structures |
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C53 |
Discovering analogous structure supports generalization in human reinforcement learning |
Alana Jaskir |
Memory, Learning & Knowledge Structures |
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C54 |
Shrey Dixit |
Memory, Learning & Knowledge Structures |
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C55 |
Place Cells and Grid Cells Refine Each Other: A Clone-Structured Cognitive Graphs Model |
Yicong Zheng |
Memory, Learning & Knowledge Structures |
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C56 |
Jae-Young Son |
Memory, Learning & Knowledge Structures |
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C57 |
Yichen Qian |
Memory, Learning & Knowledge Structures |
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C58 |
Elliot Huang |
Memory, Learning & Knowledge Structures |
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C59 |
Rochelle Kaper |
Memory, Learning & Knowledge Structures |
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C60 |
Liu Yuezhang |
Memory, Learning & Knowledge Structures |
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C61 |
John C Bowler |
Memory, Learning & Knowledge Structures |
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C62 |
Hippocampus and Prefrontal Cortex Differentially Shape Memory Responses in Visual Cortex |
Aditi Narayan |
Memory, Learning & Knowledge Structures |
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C63 |
Gating by Both Relative and Absolute Match Helps to Optimize Episodic Memory Retrieval |
Cody V. Dong |
Memory, Learning & Knowledge Structures |
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C64 |
Lexical representations are sequenced through a micro-scale dynamic code in inferior frontal gyrus |
Irmak Ergin |
Auditory, Speech & Language Processing |
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C65 |
Itamar Jalon |
Auditory, Speech & Language Processing |
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C66 |
Emily Cheng |
Auditory, Speech & Language Processing |
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C67 |
Praveena Satkunarajah |
Auditory, Speech & Language Processing |
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C68 |
A Simple Biologically Plausible Neural Model is Capable of Basic Natural Language Aqcuisition |
Daniel Mitropolsky |
Auditory, Speech & Language Processing |
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C69 |
Yahia Abdalla |
Auditory, Speech & Language Processing |
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C70 |
Caleb Musfeldt |
Auditory, Speech & Language Processing |
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C71 |
Neural Representations of Speech and Music under Temporal Compression |
Zhengwu Ma |
Auditory, Speech & Language Processing |
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C72 |
Interpretable Language-Model Encoding of Voxel-Level Tuning During Language Comprehension |
Michael A. Lepori |
Auditory, Speech & Language Processing |
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C73 |
Comparing the speech processing hierarchy in early blind and sighted individuals |
Allison Chen |
Auditory, Speech & Language Processing |
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C74 |
Word Meaning, not Co-occurrence Statistics, is Essential for Predictive Speech Processing |
Andrey Zyryanov |
Auditory, Speech & Language Processing |
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C75 |
Focus particles and scalar inferences across humans and language models |
Catherine M. Brousse |
Auditory, Speech & Language Processing |
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C76 |
Human-aligned Universal Audio Representations with Contrastive-Equivariant Self-Supervised Learning |
Ian M. Griffith |
Auditory, Speech & Language Processing |
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C77 |
Concept Manifold Geometry Explains Asymmetry in Model–Brain Bidirectional Predictivity |
Hyewon Willow Han |
Computational Models of Vision & Visual Cortex |
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C78 |
tyler bonnen |
Computational Models of Vision & Visual Cortex |
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C79 |
Memorability Varies with How Visual Information Is Sampled by Humans and Models |
Sule Tasliyurt Celebi |
Computational Models of Vision & Visual Cortex |
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C80 |
Modeling Visual Cortex by Maximizing Layerwise Multiscale Manifold Capacity |
Thomas Edward Yerxa |
Computational Models of Vision & Visual Cortex |
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C81 |
More shape bias does not mean more human-like visual representations |
Alban Flachot |
Computational Models of Vision & Visual Cortex |
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C82 |
Carmen Amme |
Computational Models of Vision & Visual Cortex |
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C83 |
Mark D. Lescroart |
Computational Models of Vision & Visual Cortex |
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C84 |
David Tu |
Computational Models of Vision & Visual Cortex |
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C85 |
Beyond snapshot vision: decoding dynamic videos from temporally evolving neural activity |
Iris Groen |
Computational Models of Vision & Visual Cortex |
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C86 |
Latent Brain States Improve Prediction of Neural Responses to Visual Stimuli in Mouse V1 |
Zijian Jiang |
Computational Models of Vision & Visual Cortex |
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C87 |
Subjective surprise is encoded in high-level visual representations of magic tricks |
Monica Thieu |
Computational Models of Vision & Visual Cortex |
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C88 |
Seojin Lee |
Computational Models of Vision & Visual Cortex |
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C89 |
Natural image training enhances generalization in visual number sense of deep neural networks |
Joohyun Lee |
Computational Models of Vision & Visual Cortex |
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C90 |
Grasp-relevant Representation of Objects in the Human Parietal and Occipito-temporal Cortices |
Amirali Soltani Tehrani |
Computational Models of Vision & Visual Cortex |
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C91 |
Mid-level Motion Statistics as a Model for Dynamic Visual Perception in the Lateral Stream |
Ming Zhou |
Computational Models of Vision & Visual Cortex |
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C92 |
Aida Mirebrahimi |
Computational Models of Vision & Visual Cortex |
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C93 |
Emil Stroecker |
Computational Models of Vision & Visual Cortex |
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C94 |
Stable Selectivity to Social Interactions Across Visual Perspective in the Human Brain |
Niloufar Faridani |
Computational Models of Vision & Visual Cortex |
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C95 |
Ishan Kalburge |
Computational Models of Vision & Visual Cortex |
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C96 |
Eyes of the beholder: attention-guided metamers reveal divergent scene representations |
Ritik Raina |
Computational Models of Vision & Visual Cortex |
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C97 |
Virginia R. de Sa |
Computational Models of Vision & Visual Cortex |
