Poster Session D

Wednesday, August 5, 2:00 – 3:45 pm, Posters 1-22 are in Shorin Room, posters 23-103 are in Rosenthal Room

Poster	Title	Presenter	Topic Area
D	Comparing Human and Machine Communication Patterns Through a Tangram Game	Haoran Zhao	Auditory, Speech & Language Processing
D	Towards a minimal model of early phonetic learning	Thibault Schneeberger	Auditory, Speech & Language Processing
D	Perceptual Distance from a Deep Neural Network (DNN) Predicts Human Brain Response to Foreign Accented Speech	Shang-En Huang	Auditory, Speech & Language Processing
D	Causal Multiscale Models of Temporally Resolved Auditory Processing in Human Cortex	Tonio Weidler	Auditory, Speech & Language Processing
D	A Unified Speech-to-Text-to-Speech Encoding Model for Natural Conversations	Haocheng Wang	Auditory, Speech & Language Processing
D	Spatial Structure Facilitates Category Learning through Structured Representations	Michelle B. Hefner	Memory, Learning & Knowledge Structures
D	Looking at nothing during deliberation reflects optimal sampling from episodic memory	Jonathan Nicholas	Memory, Learning & Knowledge Structures
D	Shallow Hippocampal Anticipation and Dopamine Responses During Evaluation of Novel Shortcuts	Gili Karni	Memory, Learning & Knowledge Structures
D	Neural Representations of Target and Commonly Co-Occurring Objects Accessed Prior to Visual Search	Bhavin Choksi	Memory, Learning & Knowledge Structures
D	Summaries of Naturalistic Narratives Reflect Underlying Event Structure in Episodic Memory	Claire Sun	Memory, Learning & Knowledge Structures
D	Theta Oscillations Shape Load-Dependent Working Memory via Inhibitory Synchronization	Renee Tung	Memory, Learning & Knowledge Structures
D	Humans Can Rapidly Learn What to Encode in Memory	Qihong Lu	Memory, Learning & Knowledge Structures
D	Two-state dynamics structure working memory in the human medial temporal lobe	Zelin Yu	Memory, Learning & Knowledge Structures
D	Representational Geometry Reflects the Dynamics of Experience: Evidence from Relational Learning of Emotion Concepts	Yumeng Ma	Memory, Learning & Knowledge Structures
D	Interactions of Hippocampal Category Learning with Prior Knowledge	Xiaozhi Yang	Memory, Learning & Knowledge Structures
D	How do we learn what to believe and which sources to trust?	Prashanti Ganesh	Memory, Learning & Knowledge Structures
D	Uncertainty minimization generates hippocampus-like dynamics in learning and prediction signals in statistical learning	Pieter Barkema	Memory, Learning & Knowledge Structures
D	Task context shapes strategy for memory-guided decision in a neural network	Moufan Li	Memory, Learning & Knowledge Structures
D	An Episodic Memory Model Can Account for Reinforcement Learning in Humans	Javier Alejandro Masís Obando	Memory, Learning & Knowledge Structures
D	Transformers capture individual differences in reinforcement learning via in-context learning	Jacob Russin	Memory, Learning & Knowledge Structures
D	An Analytically Tractable Model of Optimal Schema Learning and Few-Shot Generalization	Valentina Njaradi	Memory, Learning & Knowledge Structures
D	One-Shot category learning and memory in human adults	Anna Krey	Memory, Learning & Knowledge Structures
D	Determinants of context-dependent memory effects in humans	Susanne Haridi	Memory, Learning & Knowledge Structures
D	Single-Neuron Evidence for Hippocampal Long-Axis Gradient Supporting Semantic Coding in Humans	Sophia Cheng	Memory, Learning & Knowledge Structures
D	Hierarchical Representational Transformations of Working Memory in Brains and Machines	Qingqing Yang	Memory, Learning & Knowledge Structures
D	Spontaneous and Surprise-induced Changes in the Hippocampal Map	Alina Krause	Memory, Learning & Knowledge Structures
D	Learning what matters: Discovering reward-indicative dimensions from naturalistic objects	Yifan Luo	Memory, Learning & Knowledge Structures
D	Language Experience Reshapes Conceptual Boundaries	Maya Taliaferro	Memory, Learning & Knowledge Structures
D	From Impulsivity to Engagement: Latent Behavioral States Reveal Distinct Decision Strategies in Rats	Aya Akhmetzhanova	Decision-Making, Cognitive Control & Event Cognition
D	Beyond Averages: Identifying Latent Behavioral Strategies in Approach–Avoidance Conflict Using Probabilistic Clustering	Dominik Endres	Decision-Making, Cognitive Control & Event Cognition
D	Using recurrent neural networks to examine sequential effects in risky choice	Ziheng Feng	Decision-Making, Cognitive Control & Event Cognition
D	Representation learning and choice in naturalistically complex environments	Dale Zhou	Decision-Making, Cognitive Control & Event Cognition
D	Cinematic Cuts Reshape Neural Event Boundaries: Individual-Level Evidence From Naturalistic Movie Viewing	Alex Ye	Decision-Making, Cognitive Control & Event Cognition
D	Temporal Processing during Decision-Making under Uncertainty	Rikki Rabinovich	Decision-Making, Cognitive Control & Event Cognition
D	Characterizing time-varying effects of evidence volatility on perceptual confidence	Yuzheng Wu	Decision-Making, Cognitive Control & Event Cognition
D	Slow reasoning can reflect pressure to minimize information processing costs	Nicholas Fagan	Decision-Making, Cognitive Control & Event Cognition
D	Computational Modeling of Stop Processes Captures Violations in Response Inhibition	Eunseo Oh	Decision-Making, Cognitive Control & Event Cognition
D	Human medial-frontal neurons integrate language and vision to structure decision-making	Tomas Aquino	Decision-Making, Cognitive Control & Event Cognition
D	An Optimal Compression Principle for Event Segmentation and Encoding	Isaac Ashkenazi	Decision-Making, Cognitive Control & Event Cognition
D	Beyond Sensory Summation: How Expectations and Sensory Evidence Shape Multisensory Perception	Elizaveta Sycheva	Decision-Making, Cognitive Control & Event Cognition
D	The effects of reassurance calibration on evidence sampling and commitment in LLM simulations of jumping-to-conclusions bias	Reema Abdulaziz	Decision-Making, Cognitive Control & Event Cognition
D	Determinants of relative value coding in artificial and biological networks	Kenway Louie	Decision-Making, Cognitive Control & Event Cognition
D	Using deep reinforcement learning to reveal neural representations of exploration	Tamir Scherf	Decision-Making, Cognitive Control & Event Cognition
D	Loss-calibrated attention in a neural sampling model of perceptual decision-making	Khayla Black	Decision-Making, Cognitive Control & Event Cognition
D	A probabilistic model for context-dependent interval discrimination in mouse	Farzaneh Najafi	Decision-Making, Cognitive Control & Event Cognition
D	Coffee or Date? A Bayesian account of Indirect Disclosure in High-Stakes Social Interactions	Victor Btesh	Decision-Making, Cognitive Control & Event Cognition
D	Parallel biases in affective reactivity and learning from counterfactual feedback	Karen Chen	Decision-Making, Cognitive Control & Event Cognition
D	Distributed and Flexible Goal Representations in Human Cortex for Adaptive Behaviour	Pinar Göktepe-Kavis	Decision-Making, Cognitive Control & Event Cognition
D	From Clicks to Conflict: A Computational Study of Approach-Avoidance Conflict Task Engagement	Franziska Usée	Decision-Making, Cognitive Control & Event Cognition
D	Distinct Computational Pathways to Persistent Fear Across Development	Camilla van Geen	Development, Individual Differences & Clinical Populations
D	Localizing excitation-inhibition imbalance in schizophrenia with virtual brains informed by white-matter microstructure	Kailin Zhu	Development, Individual Differences & Clinical Populations
D	The developmental trajectory of temporal dynamics in human visual representations	Chun-Hui Li	Development, Individual Differences & Clinical Populations
D	Slow Update of Motor Plans in Autism is Associated with Reduced ACC Activation	Keren Kasten	Development, Individual Differences & Clinical Populations
D	Semantic Drivers of Gaze in Individuals With and Without Autism During Dyadic Conversation	Katerina M Simkova	Development, Individual Differences & Clinical Populations
D	Accurate and Interpretable Prediction of Antidepressant Treatment Response from Receptor-informed Neuroimaging	Hanna M. Tolle	Development, Individual Differences & Clinical Populations
D	An adaptive role for anhedonia following early-life unpredictability	Yifan Zhang	Development, Individual Differences & Clinical Populations
D	Intra- and Inter-Regional Neural Excitation Model Identifies Age-Related Effects	Yeongjun Park	Development, Individual Differences & Clinical Populations
D	Interleukin-6 Trans-Signaling as the Primary Cytokine Mechanism Linking Urinary Tract Inflammation to Cognitive Dysfunction	Saket Ram Ganti	Development, Individual Differences & Clinical Populations
D	Neural signatures of impaired semantic contextualization in Autism Spectrum Disorder	Melissa Franch	Development, Individual Differences & Clinical Populations
D	Neuroticism contributes to cognitive decline and Alzheimer’s disease through dysregulation of excitatory neurons	Sneha Sharma	Development, Individual Differences & Clinical Populations
D	Univariate and Multivariate ERP Signatures of Division Verification in Adolescents: Evidence for N400-LPC Effects	Mannu Brahmi	Development, Individual Differences & Clinical Populations
D	Overgeneralization Emerges from Latent Cause Inference	Raphael Yamamoto	Development, Individual Differences & Clinical Populations
D	Encoding models reveal selective differences in face representations in developmental prosopagnosia	Florencia Martinez-Addiego	Development, Individual Differences & Clinical Populations
D	Using AI-generated videos to investigate the roles of attribution and impressions in clinical outcomes	Zizhuang Miao	Development, Individual Differences & Clinical Populations
D	A Nonlocal Variational Framework for Optimal Neural Representations	Gengshuo John Tian	Methods, Tools, Theory & Neural Coding
D	Hyperalignment Reveals Shared Information in Monkeys’ Idiosyncratic Fine-Grained Movie fMRI Patterns	Yuqi Zhang	Methods, Tools, Theory & Neural Coding
D	Invariant correlation: a general and straightforward method to quantify invariance in time-varying neural signals	Jarrod M. Hicks	Methods, Tools, Theory & Neural Coding
D	Diffusion-map phenotyping from exactly solvable brain-dynamics models via descriptor-family kernel fusion	Julian Kędys	Methods, Tools, Theory & Neural Coding
D	Generalized Attention Benefits that Outlast Neurofeedback Training	Vishesh Choudhary	Methods, Tools, Theory & Neural Coding
D	Neural Alignment Reveals Selective Reorganization in Domain-Adapted Language Models	Miriam Havin	Methods, Tools, Theory & Neural Coding
D	Structure, disorder, and dynamics in task-trained recurrent neural circuits	David G Clark	Methods, Tools, Theory & Neural Coding
D	Continuous Temporal Difference Learning as a Unifying Theory of Dopamine Function Across Timescales	Sankalp Garud	Methods, Tools, Theory & Neural Coding
D	Pooling Across Brains: Embedding‑SRM Enables Encoding Models in Ultra‑Low‑Data ECoG	ARNAB BHATTACHARJEE	Methods, Tools, Theory & Neural Coding
D	Multi-View Temporal Alignment for Cross-Species fMRI	Kurt Braunlich	Methods, Tools, Theory & Neural Coding
D	Modulation of synaptic connectivity by population activity	Tian Qiu	Methods, Tools, Theory & Neural Coding
D	Automated Individual Subject Functional Parcellation of the Reading Circuitry in the Ventral Occipitotemporal Cortex	Garikoitz Lerma-Usabiaga	Methods, Tools, Theory & Neural Coding
D	Dynamics of object coding in the inferotemporal cortex	Conor McGrory	Methods, Tools, Theory & Neural Coding
D	Geometric regularization of representation spaces enables efficient application of cognitive operators	Paul Liebenow	Methods, Tools, Theory & Neural Coding
D	UMBRELLA: A Foundation Framework for High-Dimensional Neuroimaging via Multi-turn Comparative Learning	Heehwan Wang	Methods, Tools, Theory & Neural Coding
D	Interfacing Macaque Cortex with Language Models for Generative Neural Readout	Victoria Bosch	Methods, Tools, Theory & Neural Coding
D	Efference Copy as Precision Weighting Explains Predictive Sharpening and Perceptual Attenuation in Action-Effect Prediction	Yifei He	Methods, Tools, Theory & Neural Coding
D	Reconstructing subjective experiences across individuals from brain activity	Haibao Wang	Methods, Tools, Theory & Neural Coding
D	Human inference reflects distinct, interacting contributions of information compression and computational complexity	Jacob A Parker	Methods, Tools, Theory & Neural Coding
D	The adaptive relational bottleneck: regulation of attention in the service of abstraction	Keith Thomas Murray	Methods, Tools, Theory & Neural Coding
D	Dendritic structure enables powerful plasticity	Federico Benitez	Methods, Tools, Theory & Neural Coding
D	Presence Expectations Modulate the Neural Signatures of Content Prediction Errors	Martha Cottam	Methods, Tools, Theory & Neural Coding
D	From Single Neurons to Networks: Fundamental Trade-Offs in Information Processing Systems with Limited Resources	Dan Hilman Amir	Methods, Tools, Theory & Neural Coding
D	Signal-to-Noise Ratio Predicts Neural Response Predictability with Limited Association with Tuning Properties in Mouse Visual Cortex	Weiwei Wang	Methods, Tools, Theory & Neural Coding
D	Semantic Neighborhood Density and Eye Gaze Time in Human Programmer Attention	Robert Wallace	Methods, Tools, Theory & Neural Coding
D	Artifacts as Memory Beyond the Agent Boundary	Fraser Mince	Methods, Tools, Theory & Neural Coding
D	re:vision – A community-driven replication initiative for image-related neuroscience	Luca Kämmer	Methods, Tools, Theory & Neural Coding
D	Aligning DNN Representational Spaces with Shepard’s Law	Navya Sahay	Methods, Tools, Theory & Neural Coding
D	Inferring the Role of Neuromodulators in Credit Assignment Using Recurrent Neural Networks	Rimjhim Tomar	Methods, Tools, Theory & Neural Coding
D	Robustness and Efficiency Organize Neural Wiring Across Primate Clades	Ittai Shamir	Methods, Tools, Theory & Neural Coding
D	Task Representational Dynamics For Compositional Generalization During Context-dependent Cognitive Tasks	Lakshman N.C. Chakravarthula	Methods, Tools, Theory & Neural Coding