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Poster Session B

Thursday, August 8, 2024, 1:30 – 3:30 pm, Johnson Ice Rink

Poster 

Title

First Author

Paper PDF

B1

Anticipatory visual cortical dynamics of temporal expectation and voluntary temporal attention

Tian, Karen J.

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B2

Multiplexing midbrain neurons entrain movement dependent decision-making

Shin, Wooyeon

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B3

Localised and stable codes for goal and direction mix with a distributed control signal during multi-step spatial inference in monkey frontal cortex

Achterberg, Jascha

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B4

Estimating flexible across-area communication with neurally-constrained RNN

Barbosa, Joao

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B5

Neural Dynamics in Dorsolateral Prefrontal Cortex Underlying Flexible Perceptual Decision-Making

Wang, Tian

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B6

Evaluating theories of neural information integration during visual search

Leite, Abe

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B7

A Novel Method for Evaluating Expert Multiple Object Tracking Using Competitive Esport

Simmons, Trent

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B8

Revealing human planning strategies with eye tracking

Callaway, Frederick

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B9

RTNet: An image computable model of human choice, response time, and confidence

Shekhar, Medha

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B10

A Generative Grammar for Automatically Designing Experiments on Human Learning and Decision Making

Eckstein, Maria

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B11

Reward probability encoding in human neurons

Price, Alexander

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B12

Interictal epileptiform discharges disrupt neural computations underlying cognitive control and value-based decision making

Shahdoust, Niloufar

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B13

Choice Stochasticity and Cognitive Imprecision Across Value Tasks

Haeffner, Clara E.

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B14

The Perils of Omitting Omissions when Modeling Evidence Accumulation

Leng, Xiamin

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B15

Neural dynamics of reversal learning in the prefrontal cortex

Kim, Christopher

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B16

Comparing primacy effects across different temporal scales to distinguish between theories of evidence integration

Chattoraj, Ankani

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B17

Evidence accumulation across the senses in the face of causal uncertainty

Beurskens, Jochem

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B18

Predicting human behavioral decisions with recurrent neural networks

Cheng, Yu-Ang

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B19

Recurrent neural network and cognitive models extract different information from task behavior for predicting psychiatric traits

Cai, Ming Bo

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B20

Characterizing attractor geometry in human decision making via low-dimensional RNNs

Xiong, Hua-Dong

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B21

Age-related differences in visual statistical learning during face and scene working memory

Oh, Hwamee

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B22

Age-related declines in visual working memory capacity are linked to reduced levels of parietal glutamate.

nassar, matthew

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B23

(Eye-)Tracking of Task-dependent Representational Dynamics in Working Memory

Zorbek, Dilara

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B24

Unethical amnesia brain: Memory and metacognitive distortion induced by dishonesty

Xu, Xinyi

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B25

Contributions of Reinforcement Learning Variables to the Intracranial Reward Positivity

Cowan, Rhiannon L.

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B26

Computational mechanisms of aversive generalisation in anxiety

Verra, Luianta

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B27

Absence of Systematic Effects of Trait Anxiety on Learning Under Uncertainty

Satti, Muhammad Hashim

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B28

Anxiety is associated with reduced pupillary response to volatility

Shang, Sophie

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B29

N3 sleep ameliorates anxiety-induced amplified reward learning in dynamically changing environments

Deshmukh, Rakshita

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B30

Attention-Dependent Perceptual Learning in a CNN Model of the Visual System

Maher, Thomas

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B31

Bottom-Up and Top-Down Attention in Value-Based Choice

Konovalov, Arkady

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B32

Positive Reward Bias on Human Reinforcement Learning under Increased Dopaminergic Neurotransmission

Zalta, Arnaud

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B33

Planning With Others in Mind

Arfaei, Nastaran

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B34

Deciphering the meta-cognitive experiences in creative problem-solving

Lu, Yang-Fan

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B35

Individual differences in strategic exploration may reflect rational consideration of learning

Nussenbaum, Kate

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B36

How does social learning affect stable false beliefs?

Budiono, Rheza

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B37

Development of structure inference contributes to age-related differences in exploration

Harhen, Nora C.

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B38

Brain Development of Selective Attention Enhances Credit Assignment

Chen, Wei

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B39

A Normative Account of the Influence of Contextual Familiarity and Novelty on Episodic Memory Policy

Lu, Qihong

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B40

Adaptive learning using attractor switches in RNN

He, Qin

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B41

Mice in the Manhattan Maze: Rapid Learning, Flexible Routing and Generalization, With and Without Cortex

Zheng, Jieyu

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B42

An algorithmic account for how humans efficiently learn, transfer, and compose hierarchically structured decision policies

Li, Jing-Jing

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B43

Modeling human learning in a combinatorial bandit task

Deng, Guangyu

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B44

Adaptive Learning Under Uncertainty With Variational Belief Deep Reinforcement Learning

Kuo, Po-Chen

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B45

Building Deterministic Causal Graphs Using Reinforcement Learning in Cognitive Tasks with Evolutionary Bias

Aitsahalia, Ines

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B46

Common Sense Reasoning about Source Credibility

Hu, Peiyao

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B47

Contextual dependence of the “Knobe effect”: reversals under counterfactual contrasts

Houlihan, Dae

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B48

Place fields organize along goal trajectory with reinforcement learning

Kumar, M Ganesh

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B49

Neural manifold packing by stochastic gradient descent

Zhang, Guanming

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B50

Emergent human-like path preferences and implicit subgoal selection in transformers learning graph traversal

Li, Yuxuan

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B51

Why Do Animals Need Shaping? A Theory of Task Composition and Curriculum Learning

Lee, Jin

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B52

Algorithms for Neural Networks

Morrison, John

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B53

Understanding Feature Learning in Neural Networks via Manifold Capacity and Effective Geometry

Le, Hang

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B54

Dynamic neural control of task representations in humans and neural networks

Ritz, Harrison

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B55

Dynamics of Multi-form Task Representations during Sequence Learning

Yang, Guochun

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B56

A Mathematical Theory of Context Controlled Semantic Development

Jarvis, Devon

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B57

Latent variable sequence identification for cognitive models with recurrent neural networks

Pan, Ti-Fen

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B58

Multitasking leads to Generalizable Disentangled Representations in RNNs

Vafidis, Pantelis

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B59

Cognitive abstractions for data-efficient learning, systematic generalization, and latent factor inference

Del Rio, Felipe

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B60

What common error patterns can tell us about human problem solving

Ahn, Caroline

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B61

Towards the Use of Relative Representations for Lower-Dimensional, Interpretable Model-to-Brain Mappings

Keller, T. Anderson

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B62

Do diffusion models generalize on abstract rules for reasoning?

Wang, Binxu

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B64

HMAX Strikes Back: Self-supervised Learning of Human-Like Scale Invariant Representations

Rodriguez, Ivan Felipe

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B65

Topographic Deep ANN Models Predict the Perceptual Effects of Direct IT Cortical Interventions

Schrimpf, Martin

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B66

Human-like behavior and neural representations emerge in a goal-driven model of overt visual search for natural objects

Pour Ahimi, Motahareh

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B67

A single computational objective may not be sufficient for human-like face discrimination

Marvi, Ammar

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B68

Inferotemporal Cortex Underlies Primate Generalization Capabilities and Brain-Aligned Models Generalize Better

I Gusti Bagus, Marliawaty

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B69

Naturalistic dataset augmentations lead to more human-like recognition of occluded objects in convolutional neural networks.

Coggan, David

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B70

Easing into learning: How and why a sequential curriculum improves visual learning generalization

Volk, Charlotte

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B71

Recurrent Attentional Selection Can Explain Flexible Trading of Accuracy and Energy in Biological Vision

Butkus, Eivinas

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B72

Using CNNs to understand how bottom-up and top-down processes shape human face detection

Tasliyurt Celebi, Sule

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B73

Recurrent models optimized for face recognition exhibit representational dynamics resembling the primate brain

Adeli, Hossein

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B74

Evaluating the perceptual alignment between generative visual models and human observers on 3D shape inferences

Bonnen, Tyler

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B75

A biologically plausible route to learn 3D perception

Lee, Wanhee

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B76

Measuring Alignment between Human and Artificial Intelligence with Representational Similarity Analysis

Ogg, Mattson

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B77

Delineating the set of faces perceived as natural in the Basel Face Model

Bossio, Veronica

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B78

Scaling Laws for Task-Optimized Models of the Primate Visual Ventral Stream

Gokce, Abdulkadir

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B79

The Role of Image Quality in Shaping Neural Network Representations and Performance

Lee, Jason

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B80

Modeling the human brain: investigating stimulus-response transformations in complex, time-continuous environments using deep neural networks

Haberland, Sabine

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B81

Predicting brain activation does not license conclusions regarding DNN-brain alignment: The case of Brain-Score

Malhotra, Gaurav

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B82

Visual Feature-Based Brain Decoding Yields Weight Maps Better Aligned with Scene Understanding than Classification

Le, Chenqian

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B83

Tracking in space and features with phase synchrony

Muzellec, Sabine

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B84

Walk a mile in my shoes! 3D visual perspective taking in humans and machines.

Zhou, Peisen

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B85

Humans and deep neural networks can use perceptual features to determine physical stability

Aulet, Lauren

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B86

Spatial computing: utilizing cortical space to dynamically control the cognitive status of neural representations

Brandyopadhyay, Abhirup

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B87

Spatially- and non-spatially tuned hippocampal neurons exhibit distinct linear and non-linear representations

Daigle, Maxime

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B89

Emergence of complementary learning systems through meta-learning

Zhou, Zhenglong

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B90

Predictive Learning for Self-Supervised Mapping and Localization

Chapman, William

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B91

A Feedback Model of Flexible Context Guided Sensory Processing

Iyer, Abhiram

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B92

Replicating spectro-temporal dynamics in neurobiologically realistic neural networks via a self-supervised approach

Nejat, Hamed

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B93

An account of the genesis of the parvo- and magnocellular division based on early visual experience

Vogelsang, Lukas

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B94

The Effect of Attention on Contrast Response Functions in Convolutional Neural Networks

Srivastava, Sudhanshu

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B95

A computational principle trades-off inference and adaptation dynamics

Wertheimer, Oded

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B96

Distinct metacognitive and decisional process for fission and fusion illusion

Xie, Rao

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B97

Dopamine synergistic effects on lateral inhibition and neuronal excitability promote the formation of striatal ensembles

Bosca, Vicente

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B98

Emergent symmetry in a finite model of navigational neurons

Weinstein, Vadim

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B99

A Multi-Region Brain Model to Shed Light on the Role of Hippocampus in Spatially Embedded Decision Tasks

Xie, Yi

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B100

Interaction of segregated resonant mechanisms along the dendritic axis in CA1 pyramidal cells: Interplay of cellular biophysics and spatial structure

Rotstein, Horacio

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B101

The landscape of functional neuron embeddings depends on regularization

Turishcheva, Polina

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B102

Impact of dendritic non-linearities on the computational capabilities of neurons

Lauditi, Clarissa

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B103

Discovering cognitive models in a competitive mixed-strategy game

Liu, Peiyu

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B104

Computational journey from numerical cognition to arithmetic ability

Turcu, Denis

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B105

Learning Dynamics of Linear Recurrent Neural Networks

Proca, Alexandra M.

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B106

Connectome-constrained spatially embedded recurrent neural networks

Rovný, Maroš

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B107

The inevitability and superfluousness of cell types in spatial cognition

Luo, Xiaoliang

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B108

Neural Network Models of Hearing Clarify Factors Limiting Cochlear Implant Outcomes

Banerjee, Annesya

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B109

Climbing the Ladder of Causation with Counterfactual World Modeling

Mysore Vekatesh, Rahul

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B111

Component encoding: Interpretable and predictive models of neural computation

Skrill, David

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B112

Structural bottlenecks promote temporal coding in spiking neural networks

Mobille, Zach

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B113

DivfreqBERT : Encoding Distinct Frequency Ranges of Brain Dynamics Based on the Complexity of the Brain

Bae, Sangyoon

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B114

The Role of Frequency in Shaping Features from Artificial Vision Models

fel, thomas

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B116

Neural Computations Underlying Polar Angle Asymmetries

Xue, Shutian

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B117

Deep Neural Network Models of Infant Visual Cortex

O'Doherty, Cliona

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B119

Transformer-based model captures neural representation of audio-visual speech in natural scenes

Yu, Wenyuan

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B120

A single spatial transform improves predictions of neural responses by deep neural network models

Mueller, Niklas

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B121

Evaluating the impact of multiscale temporal processing on sound-to-event recurrent neural networks

Esposito, Michele

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B122

Optimal stimulus selection for dissociating acoustic and semantic processing of natural sounds

Araújo Vitoria, Maria

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B123

Encoding of Acoustic Features in Listened and Imagined MEG Responses to Melodies

Maghsoudi Shaghaghi, Maryam

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B124

Sub-lexical processing of audiovisual speech constrains lexical competition.

Nidiffer, Aaron

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B125

Decoding of Hierarchical Inference in the Human Brain during Speech Processing with Large Language Models

Raugel, Joséphine

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B126

Correlates of Syntax in EEG Responses to Naturalistic Speech

Bialas, Ole

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B127

Time-yoked integration throughout human auditory cortex

Norman-Haignere, Samuel

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B128

Deep neural networks reveal context-sensitive speech encoding in single neurons of human cortex

Jain, Shailee

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B129

Separate Neural Representations for Physical and Communicative Social Interactions: Evidence from Data-driven Voxel Decomposition

Zhao, Yuanfang

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B130

Neural Basis of Working Memory for Social Interactions

Guo, Yang

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B131

Ubiquitous visual representations during neural processing of a naturalistic movie

Small, Hannah

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B132

Neural development of social perception: Evidence from voxel-wise encoding model study in young children and adults

Im, Elizabeth Jiwon

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B133

The Representational Organization of Static and Dynamic Visual Features in the Human Cortex

Karimi, Hamed

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B134

Tracking representational formats of intrusive memories using deep neural networks

Heinen, Rebekka

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B135

Differential Behavioral Manifestations in Emotional versus Neutral Scene Perception within Convolutional Neural Networks

Li, Chun-Hui

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B136

Hippocampal versus cortical language processing: Similar selectivity profile, difference in tuning axis

Lee, Elizabeth Jiachen

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B137

Single neurons in human hippocampus and amygdala track the depth-of-processing elicited by visual representations of images

Shah, Aalap

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B138

Hippocampal Encoding of Abstract Cognitive Maps Supports Navigation in a Real-World Social Network

Teoh, Yi Yang

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B139

More than meets the eye: Reconstructing lingering thoughts from visual long-term memories

Zou, Futing

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B140

Functional significance of shared brain state across various cognitive tasks

Yamashita, Ayumu

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B141

Connectome Fingerprinting Predicts Prefrontal Cortical Activation During Abstract Reasoning

Isenburg, Kylie

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B142

Electrophysiological neural mechanisms for domain-general intelligence

Lu, Runhao

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B143

Machine learning predicts neural rhythms from brainwide hemodynamics across vigilance states

Jacob, Leandro

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B144

Arousal optimizes behavior by promoting latent state transitions

Marble, Harrison

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B145

Latent state space of the nucleus accumbens BOLD activity indicates internal feedback mechanisms for learning temporal regularity

Tang, Wei

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B146

PoissonVAE: combining Bayesian Inference with Predictive Coding results in Amortized Sparse Coding

Vafaii, Hadi

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B147

Oscillatory traveling waves reveal predictive coding abnormalities in schizophrenia

Alamia, Andrea

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B148

VARX model of the Brain: Functional connectivity dominates response to natural stimulus in human intracranial EEG

Nentwich, Maximilian

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B149

Are different kinds of subjective fears represented differently in the human br

Côté, Marjorie

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B150

Evolving synthetic images for the control of affective experience

Valevicius, Darius

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B151

Personality traits predict the valence but not semantic content of narrative interpretations

Benson, Tory

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B152

Towards a Latent Space Cartography of Individual Differences in Subjective Experience Using Large Language Models

Manuel, Shawn

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B153

Relational neural control: a method for investigating functional relationships across the brain

Gifford, Alessandro T.

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B154

Exploring Brain Responses to Memorability-Controlled Generated Images

Han, Hyewon Willow

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B155

Do vision and imagery share common principal signal components?

Saha Roy, Tiasha

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B156

Disentangling human amygdala activity with artificial neural networks

Jang, Grace

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B157

An open dataset of functional MRI responses to egocentric navigation through natural scenes

Chen, Emily M.

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B158

Coordinated Computations for Naturalistic Memory Encoding and Retrieval in Hippocampal subspaces

Kwon, Dasom

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B160

Pink noise in speakers' semantic synchrony dynamics predicts conversation quality

O'Nell, Kathryn

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B161

Duality of Bures and Shape Distances with Implications for Comparing Neural Representations

Harvey, Sarah

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B162

Modeling Multiplicity of Strategies in Free Recall with Neural Networks

Li, Moufan

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B163

Dynamic, social vision highlights gaps between deep learning and human behavior and neural responses

Garcia, Kathy

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B164

Shared connectome and organization in the human cortex irrespective of sensory experience

Jiahui, Guo

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B165

Semantic action representations in the mind and brain

Dima, Diana C

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B166

One-shot auditory blind source separation using a novel neural network inspired by the auditory system

Abbs, Patrick

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