Contributed Talk Sessions | Poster Sessions | All Posters | Search Papers
Poster Session C and Coffee
Friday, August 15, 2:00 – 5:00 pm, de Brug & E‑Hall (Posters 1-103 are in de Brug. Posters 104-199 are in E-Hall.)
C128 |
A 7T fMRI dataset of synthetic images for out-of-distribution modeling of vision |
Alessandro Thomas Gifford |
Visual Processing & Computational Vision |
C76 |
A closed-loop model for the coordination of gaze control and decision-making |
Tianming Yang |
Reward, Value & Social Decision Making |
C79 |
Mark A Orloff |
Reward, Value & Social Decision Making |
|
C97 |
A computational model of reward learning and habits on social media |
Georgia Turner |
Reward, Value & Social Decision Making |
C145 |
Motahareh Pourrahimi |
Object Recognition & Visual Attention |
|
C176 |
A hierarchical multivariate copula-based framework for cognitive modeling |
Jesper Fischer Ehmsen |
Methods & Computational Tools |
C125 |
A hierarchy of spatial predictions across human visual cortex during natural vision |
Wieger H. Scheurer |
Visual Processing & Computational Vision |
C106 |
A multimodal encoding model for predicting human brain responses to complex naturalistic movies |
Viacheslav Fokin |
Visual Processing & Computational Vision |
C136 |
Dock H Duncan |
Object Recognition & Visual Attention |
|
C47 |
Daniel Dager |
Language & Communication |
|
C57 |
A semantic bias for accurate predictive learning in multidimensional environments |
Euan Prentis |
Memory, Spatial Cognition & Skill Learning |
C94 |
A single general strategy supports flexible behavior in response to both gradual and sudden changes |
Jessica Passlack |
Reward, Value & Social Decision Making |
C46 |
A Two-Dimensional Space of Linguistic Representations Shared Across Individuals |
Greta Tuckute |
Language & Communication |
C60 |
A Unified Benchmark for Human-Like Memory in Artificial Agents |
Lucas Gruaz |
Memory, Spatial Cognition & Skill Learning |
C82 |
Haemy Lee Masson |
Reward, Value & Social Decision Making |
|
C80 |
John L. Haracz |
Reward, Value & Social Decision Making |
|
C89 |
T. Alexander Price |
Reward, Value & Social Decision Making |
|
C157 |
Dora Hermes |
Brain Networks & Neural Dynamics |
|
C168 |
Philippa A. Johnson |
Brain Networks & Neural Dynamics |
|
C83 |
Attention in value-based choice: Active and passive uncertainty reduction mechanisms |
Ruby Schlayer-Westbrook |
Reward, Value & Social Decision Making |
C138 |
Zahra Fayyaz |
Object Recognition & Visual Attention |
|
C141 |
Berfin Bastug |
Object Recognition & Visual Attention |
|
C169 |
Mengting Xu |
Brain Networks & Neural Dynamics |
|
C23 |
Heiko H. Schütt |
Predictive Processing & Cognitive Control |
|
C65 |
Behavioral timescale synaptic plasticity, replay, and emergent behavioral choice |
Suhee Cho |
Memory, Spatial Cognition & Skill Learning |
C156 |
Biologically informed cortical models predict optogenetic perturbations |
Guillaume Bellec |
Brain Networks & Neural Dynamics |
C3 |
Bistable perception emerges from loopy inference in strongly coupled probabilistic graphs |
Alexandre Garcia-Duran |
Predictive Processing & Cognitive Control |
C178 |
Boosting Hyperalignment Performance with Age-specific Templates |
Yuqi Zhang |
Methods & Computational Tools |
C147 |
Brain-Aligned Category-Selective Features from Contrastive Learning |
Daniel Janini |
Object Recognition & Visual Attention |
C167 |
Brain-Like Pathways Form in Models With Heterogeneous Experts |
Jack Cook |
Brain Networks & Neural Dynamics |
C41 |
Causal Discovery and Inference through Next-Token Prediction |
Eivinas Butkus |
Language & Communication |
C161 |
Julie A. Boyle |
Brain Networks & Neural Dynamics |
|
C70 |
Huang Ham |
Memory, Spatial Cognition & Skill Learning |
|
C15 |
Combining Recurrent & Bayesian Models for Action Anticipation with Multiple Cues |
Mariia Zimokha |
Predictive Processing & Cognitive Control |
C165 |
Common representations underlie idiosyncratic neural topographies |
Bogdan Petre |
Brain Networks & Neural Dynamics |
C163 |
Comparing Brain-Score and ImageNet performance with responses to the scintillating grid illusion |
Martin Kent Kraus |
Brain Networks & Neural Dynamics |
C179 |
Comparing Variance Partitioning and the Residual Method for Interpreting Brain Recordings |
Fatma Deniz |
Methods & Computational Tools |
C149 |
Zhengqing Miao |
Object Recognition & Visual Attention |
|
C73 |
Computational Model for Episodic Timeline Based on a Spectrum of Synaptic Decay Rates |
Zoran Tiganj |
Memory, Spatial Cognition & Skill Learning |
C14 |
Zoe Purcell |
Predictive Processing & Cognitive Control |
|
C42 |
Filippo Cerpelloni |
Language & Communication |
|
C21 |
Confidence in absence as confidence in counterfactual visibility |
Matan Mazor |
Predictive Processing & Cognitive Control |
C124 |
Keisuke Toyoda |
Visual Processing & Computational Vision |
|
C174 |
Constructing Representational Similarity Metrics Through Linear Decoding |
Sarah E Harvey |
Methods & Computational Tools |
C84 |
Kara D. McGaughey |
Reward, Value & Social Decision Making |
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C10 |
Michał J Wójcik |
Predictive Processing & Cognitive Control |
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C61 |
Noam Goldway |
Memory, Spatial Cognition & Skill Learning |
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C119 |
CorText-AMA: brain-language fusion as a new tool for probing visually evoked brain responses |
Victoria Bosch |
Visual Processing & Computational Vision |
C123 |
Decoding Colour Information from EEG Signals in Natural Scenes |
Arash Akbarinia |
Visual Processing & Computational Vision |
C8 |
Minsung Cho |
Predictive Processing & Cognitive Control |
|
C111 |
Deep layers of primary visual cortex encode postdictive perception |
Pieter Barkema |
Visual Processing & Computational Vision |
C129 |
Ariane Delrocq |
Visual Processing & Computational Vision |
|
C108 |
Differentiating image representations in terms of their local geometry |
David Lipshutz |
Visual Processing & Computational Vision |
C31 |
Disentangling of Spoken Words and Talker Identity in Human Auditory Cortex |
Akhil Bandreddi |
Language & Communication |
C43 |
Dissociable Neural Signatures for Surprisal and Entropy Reduction in Mandarin Speech Comprehension |
Qifei Wang |
Language & Communication |
C13 |
Dissociating Confidence Bias and Confidence Noise in Perceptual and Knowledge-Based Decisions |
Matteo Lisi |
Predictive Processing & Cognitive Control |
C87 |
Drift Rate Reflects Value, Response Bias Reflects Habit: A DDM Analysis of the Reward Pairs Task |
Viktor Timokhov |
Reward, Value & Social Decision Making |
C67 |
Dynamic Multi-level Learning in a Control-Learning Environment |
Junwu Chen |
Memory, Spatial Cognition & Skill Learning |
C7 |
Shany Grossman |
Predictive Processing & Cognitive Control |
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C170 |
Early learning of the optimal constant solution in neural networks and humans |
Jirko Rubruck |
Brain Networks & Neural Dynamics |
C173 |
Tae-Rim Yun |
Methods & Computational Tools |
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C92 |
Emergent Reciprocity Through Temporal Credit Assignment in Reinforcement Learning Agents |
Le Thuy Duong Nguyen |
Reward, Value & Social Decision Making |
C35 |
Encoding Brain Regions with Sentiment-Relevant Circuits in LLMs |
Nursulu Sagimbayeva |
Language & Communication |
C153 |
Carmen Amme |
Object Recognition & Visual Attention |
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C184 |
Estimating Neural Representation Alignment from Sparsely Sampled Inputs and Features |
Chanwoo Chun |
Methods & Computational Tools |
C109 |
Evaluating Human-Machine Representational Alignment in Hyperbolic Space |
Otto Béla Márton |
Visual Processing & Computational Vision |
C185 |
Evaluating Representational Similarity Measures from the Lens of Functional Correspondence |
Yiqing Bo |
Methods & Computational Tools |
C59 |
Evidence of fear conditioning in virtual reality revealed by eye movements |
Catherine Kim |
Memory, Spatial Cognition & Skill Learning |
C127 |
Examining the potential functional significance of initially poor temporal acuity |
Marin Vogelsang |
Visual Processing & Computational Vision |
C72 |
Experience supports performance by abstraction learning in recurrent networks |
John C Bowler |
Memory, Spatial Cognition & Skill Learning |
C86 |
Exploring the Neural Basis of Stimulus-Driven Overconfidence |
Ema Zezelic |
Reward, Value & Social Decision Making |
C104 |
Feedback signals can explain spike-silent working memory traces in visual cortex |
Noa N. Krause |
Visual Processing & Computational Vision |
C114 |
Foveated sensing in KNN-convolutional neural networks based on isotropic cortical magnification |
Nicholas Blauch |
Visual Processing & Computational Vision |
C107 |
From Images to Perception: Emergence of Perceptual Properties by Reconstructing Images |
Jesus Malo |
Visual Processing & Computational Vision |
C166 |
From simple to complex: shared learning dynamics in humans and neural networks |
Christopher Summerfield |
Brain Networks & Neural Dynamics |
C51 |
From Sound to Source: Human and Model Recognition in Auditory Scenes |
Sagarika Alavilli |
Memory, Spatial Cognition & Skill Learning |
C85 |
Frontostriatal dynamics modelling obsessions and compulsions |
Sebastien Naze |
Reward, Value & Social Decision Making |
C116 |
Getting into Shape: The Impact of Early Visual Development on Object Recognition |
Zejin Lu |
Visual Processing & Computational Vision |
C71 |
Good and consequential counterfactual outcomes are prioritized during learning |
Kate Nussenbaum |
Memory, Spatial Cognition & Skill Learning |
C20 |
Hierarchical systems in the default mode network when reasoning about self and other mental states |
Isaac Ray Christian |
Predictive Processing & Cognitive Control |
C4 |
Yun-Yi Qi |
Predictive Processing & Cognitive Control |
|
C134 |
Johannes Roth |
Visual Processing & Computational Vision |
|
C66 |
How your brain learns penguins are birds - neural patterns of exception learning |
Rebekka Heinen |
Memory, Spatial Cognition & Skill Learning |
C122 |
Nuria Alabau-Bosque |
Visual Processing & Computational Vision |
|
C58 |
Human-in-the-loop synthesis of behaviorally salient “super-distractors” |
Devarajan Sridharan |
Memory, Spatial Cognition & Skill Learning |
C130 |
Incorporating foveal sampling and integration to model 3D shape inferences |
Stephanie Fu |
Visual Processing & Computational Vision |
C37 |
Anuja Negi |
Language & Communication |
|
C29 |
Integration of internal linguistic information with sensory input via weakly entrained oscillations |
Rong Ding |
Language & Communication |
C75 |
Interplay of social and self interests during learning in early adolescence |
Cong Wang |
Reward, Value & Social Decision Making |
C181 |
Intrinsic dimensionality of brain activity manifolds across tasks and development |
Erica Lindsey Busch |
Methods & Computational Tools |
C113 |
Inverse receptive field attention for naturalistic image reconstruction from the brain |
Marcel van Gerven |
Visual Processing & Computational Vision |
C132 |
Investigation of Numerosity Representation in Convolution Neural Networks |
Nhut Truong |
Visual Processing & Computational Vision |
C162 |
T. Anderson Keller |
Brain Networks & Neural Dynamics |
|
C26 |
Elif Akata |
Language & Communication |
|
C25 |
Large Language Models are Highly Aligned with Human Ratings of Emotional Stimuli |
Mattson Ogg |
Language & Communication |
C180 |
Learning Latent Spaces for Individualized Functional Neuroimaging with Variational Autoencoders |
Kajal Singla |
Methods & Computational Tools |
C110 |
Nina S. Nellen |
Visual Processing & Computational Vision |
|
C146 |
Srijani Saha |
Object Recognition & Visual Attention |
|
C12 |
Long Range Cortical Interactions During Comparison of Sensory and Cognitive Information |
Camila Losada |
Predictive Processing & Cognitive Control |
C175 |
Longitudinal Multimodal Data Fusion Reveals Brain–Symptom Change Patterns in Depression |
Effat Salehi Far |
Methods & Computational Tools |
C56 |
Lower-Dimensional, Optimized Representations of High-Level Information in Chess Experts |
Andrea I Costantino |
Memory, Spatial Cognition & Skill Learning |
C135 |
Memory diffusion: Using generative AI to create an image database for memory research |
Fabian Kamp |
Object Recognition & Visual Attention |
C11 |
Kevin O'Neill |
Predictive Processing & Cognitive Control |
|
C22 |
Katarzyna Dudzikowska |
Predictive Processing & Cognitive Control |
|
C118 |
Reese Kneeland |
Visual Processing & Computational Vision |
|
C133 |
Imran Thobani |
Visual Processing & Computational Vision |
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C39 |
Modelling Demonstrates Phase-Reset is an Important Feature of Neural Speech Processing |
Andrew Shannon |
Language & Communication |
C131 |
Models trained on infant views are more predictive of infant visual cortex |
Cliona O'Doherty |
Visual Processing & Computational Vision |
C32 |
Christopher Pinier |
Language & Communication |
|
C139 |
Florian Burger |
Object Recognition & Visual Attention |
|
C95 |
Neural computations underlying human social evaluations from visual stimuli |
Manasi Malik |
Reward, Value & Social Decision Making |
C33 |
Ilina Bhaya-Grossman |
Language & Communication |
|
C50 |
Neural generalization principles of working memory in humans and recurrent neural networks |
Qing Yu |
Memory, Spatial Cognition & Skill Learning |
C93 |
Dasom Kwon |
Reward, Value & Social Decision Making |
|
C48 |
Nastaran Arfaei |
Memory, Spatial Cognition & Skill Learning |
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C74 |
Novelty-seeking Guides Formation of Disentangled Representations |
Pingsheng Li |
Reward, Value & Social Decision Making |
C159 |
Aitor Morales-Gregorio |
Brain Networks & Neural Dynamics |
|
C40 |
On whether the relationship between large language models and brain activity is language-specific |
Sertug Gürel |
Language & Communication |
C148 |
Jacob S. Prince |
Object Recognition & Visual Attention |
|
C137 |
Perceiving patterns under uncertainty: the role of conspiratorial thinking |
Yi-Chuang Lin |
Object Recognition & Visual Attention |
C16 |
Predicting Response Inhibition: A Deep Learning Approach Using Pre-Response Single-Trial EEG Data |
Anna Grabowska |
Predictive Processing & Cognitive Control |
C2 |
Predictive Perception via Simultaneous Learning and Inference |
Mahdi Enan |
Predictive Processing & Cognitive Control |
C112 |
Philip Sulewski |
Visual Processing & Computational Vision |
|
C24 |
Proactive Counterfactual Inference in Flexible Decision Making |
Peiyue Liu |
Predictive Processing & Cognitive Control |
C5 |
Probabilistic representations fail to emerge in task-optimized neural networks |
Ishan Kalburge |
Predictive Processing & Cognitive Control |
C18 |
Probability Distortions Reflect Boundary Repulsions in Noisy Inference |
Saurabh Bedi |
Predictive Processing & Cognitive Control |
C49 |
Probing compositional learning during spontaneous exploration of a reconfigurable 3D environment |
Tzuhsuan Ma |
Memory, Spatial Cognition & Skill Learning |
C9 |
Erik Skjoldan Mortensen |
Predictive Processing & Cognitive Control |
|
C19 |
Pupil-linked arousal tracks belief updating in a dynamic auditory enviroment |
Lars Kopel |
Predictive Processing & Cognitive Control |
C143 |
Quantifying infants’ everyday experiences with objects in a large corpus of egocentric videos |
Jane Yang |
Object Recognition & Visual Attention |
C151 |
Quantifying the Role of Perceived Curvature in the Processing of Natural Object Images |
Laura Mai Stoinski |
Object Recognition & Visual Attention |
C38 |
Rate-Coding Bundle Memory: A Unified Model of Memory and Control for Language Comprehension |
Teun van Gils |
Language & Communication |
C121 |
Replicating Posner & Keele (1968) with Standard Convolutional Neural Networks |
Milan Van Maldegem |
Visual Processing & Computational Vision |
C142 |
Daniel Anthes |
Object Recognition & Visual Attention |
|
C62 |
Representational dynamics of concurrent visuospatial working memories in Schizophrenia |
Ines Pont Sanchis |
Memory, Spatial Cognition & Skill Learning |
C152 |
Representational Geometry Dynamics in Networks After Long-Range Modulatory Feedback |
Kexin Cindy Luo |
Object Recognition & Visual Attention |
C36 |
Resolving Communicative Uncertainty through Computational Inference of Partner Intentions |
Tengfei Zhang |
Language & Communication |
C126 |
Rethinking Representational Alignment: Linear Probing Fails to Identify the Ground-Truth Model |
Itamar Avitan |
Visual Processing & Computational Vision |
C1 |
Tobias F. Niehues |
Predictive Processing & Cognitive Control |
|
C96 |
Reward-Prediction-Error-Guided Attention Explains Behavioral Learning Curves |
Mingze Li Leukos |
Reward, Value & Social Decision Making |
C154 |
Robustness to 3D Object Transformations in Humans and Image-Based Deep Neural Networks |
Haider Al-Tahan |
Object Recognition & Visual Attention |
C105 |
Sample, Don't Assume: Unconstrained Receptive Field Estimation |
Niklas Müller |
Visual Processing & Computational Vision |
C140 |
Seen2Scene: a generative model of fixation-by-fixation scene understanding |
Ritik Raina |
Object Recognition & Visual Attention |
C182 |
Kirtana Sunil Phatnani |
Methods & Computational Tools |
|
C55 |
Sensitivity to network structures via associate learning in sleeping neonates |
Claire Njoo-Deplante |
Memory, Spatial Cognition & Skill Learning |
C6 |
Nicolas Kuske |
Predictive Processing & Cognitive Control |
|
C150 |
Shared high-dimensional latent structure in the neural and mental representations of objects |
Raj Magesh Gauthaman |
Object Recognition & Visual Attention |
C88 |
Simultaneous modeling of behavior and dopamine with disentangled RNNs |
Siddhant Jain |
Reward, Value & Social Decision Making |
C155 |
Small-Worlds Memory Generation and Capacity in the Neuroidal Model |
Mugizi Robert Rwebangira |
Brain Networks & Neural Dynamics |
C81 |
Social context affects policy and counterfactual learning in a two-armed bandit task |
Amric Trudel |
Reward, Value & Social Decision Making |
C27 |
Sparse Encoding of Grammatical Gender in LSTM Language Models |
Conor Houghton |
Language & Communication |
C52 |
Spatial Navigation Engages a Distributed Neural Representation |
Enny H. van Beest |
Memory, Spatial Cognition & Skill Learning |
C44 |
Spectral Encoding Profile for multilevel linguistic predictions |
Clément Sauvage |
Language & Communication |
C158 |
Viktoria Zemliak |
Brain Networks & Neural Dynamics |
|
C54 |
J Tyler Boyd-Meredith |
Memory, Spatial Cognition & Skill Learning |
|
C63 |
Statistical Knowledge Transfer Across Stimulus-Response Associations |
Cintia Anna Nagy |
Memory, Spatial Cognition & Skill Learning |
C30 |
Step-by-step analogical reasoning in humans and neural networks |
Joonhwa Kim |
Language & Communication |
C91 |
Structural abstraction of emotion knowledge in hippocampal-prefrontal systems |
Yumeng Ma |
Reward, Value & Social Decision Making |
C117 |
Target Detection as an Online Measure of Adapting to Changing Statistical Regularities |
Brent Vernaillen |
Visual Processing & Computational Vision |
C69 |
Lubna Shaheen Abdul |
Memory, Spatial Cognition & Skill Learning |
|
C120 |
The geometry of primary visual cortex representations is dynamically adapted to task performance |
Leyla Roksan Caglar |
Visual Processing & Computational Vision |
C172 |
Mario Senden |
Methods & Computational Tools |
|
C17 |
The neural basis of abstraction representations in humans and non-human primates |
Théo Morfoisse |
Predictive Processing & Cognitive Control |
C34 |
The role of context in neural representational alignment to audio- and text-based language systems |
Marianne De Heer Kloots |
Language & Communication |
C53 |
Siyuan Mei |
Memory, Spatial Cognition & Skill Learning |
|
C144 |
Kabir Arora |
Object Recognition & Visual Attention |
|
C78 |
Tracking of dynamic neural representations during goal-directed action |
Jet Lageman |
Reward, Value & Social Decision Making |
C28 |
Tracking Time-Varying Syntax in Birdsong with a Sequential Autoencoder |
Nadav Elami |
Language & Communication |
C64 |
Jinwoo Lee |
Memory, Spatial Cognition & Skill Learning |
|
C171 |
Mozes Jacobs |
Brain Networks & Neural Dynamics |
|
C77 |
Anne Urai |
Reward, Value & Social Decision Making |
|
C160 |
Arman Behrad |
Brain Networks & Neural Dynamics |
|
C183 |
Using transfer learning to identify a neural network's algorithm |
John Morrison |
Methods & Computational Tools |
C177 |
Jinkang Derrick Xiang |
Methods & Computational Tools |
|
C45 |
Maria Zimmermann |
Language & Communication |
|
C68 |
What does spatial tuning tell us about the neural computation in the hippocampus? |
Maxime Daigle |
Memory, Spatial Cognition & Skill Learning |
C164 |
What governs the emergence of brain-like specialized neurons in artificial neural networks? |
Brian S Robinson |
Brain Networks & Neural Dynamics |
C115 |
Which Neural Networks best model the human perception of geometric shapes? |
Maxence Pajot |
Visual Processing & Computational Vision |
C90 |
Laura Ana Bustamante |
Reward, Value & Social Decision Making |