Technical Program: Session Detail || CCN 2023 || 2023 Conference on Cognitive Computational Neuroscience || Oxford, UK || August 24

P-3A: Posters 3A

Sat, 26 Aug, 13:00 - 15:00 United Kingdom Time

Location: North Schools

Session Type: Poster

Track: Cognitive science

P-3A.1: Development of non-local learning

Alice Zhang, Kate Nussenbaum, Catherine Hartley, New York University, United States

P-3A.2: Cognitive maps at multiple levels of abstraction for flexible inference

Sarah Sweigart, Nam Nguyen, Charan Ranganath, Seongmin Park, Erie Boorman, University of California, Davis, United States

P-3A.3: Internal States and Internal Models Dissociate Components of Motor Beta Oscillations

Tom Marshall, University of Birmingham, United Kingdom; Mengxi Wang, University of Oxford, United Kingdom; Emma Lawrance, Imperial College London, United Kingdom; Nils Kolling, Université Lyon 1, France; Jill O'Reilly, University of Oxford, United Kingdom

P-3A.4: Dosage of transcranial photobiomodulation on working memory in healthy and ADHD adults

Dongwei Li, Jialiang Guo, Beijing Normal University, China; Li Sun, Peking University Sixth Hospital, China; Yan Song, Beijing Normal University, China

P-3A.5: Graded Representations of Economic Value Across Frontal Cortex

Antara Majumdar, Matthias Fritsche, Caitlin Ashcroft, Lauren Strickland, Simon Butt, Armin Lak, University of Oxford, United Kingdom

P-3A.6: Model-Based Assimilation Transmits and Recombines World Models

Ryutaro Uchiyama, Claudio Tennie, Charley Wu, University of Tübingen, Germany

P-3A.7: Spike synchrony as a measure of Gestalt structure

Viktoria Zemliak, Gordon Pipa, Univeristy of Osnabrück, Germany

P-3A.8: Neural feature reconstruction demonstrates cortical re-allocation of working memory representations under unisensory load

Vivien Chopurian, Humboldt Universität zu Berlin, Germany; Simon Weber, Charité Universitätsmedizin Berlin, Germany; Thomas Christophel, Humboldt Universität zu Berlin, Germany

P-3A.9: Dropout as a tool for understanding information distribution in human and machine visual systems

Jacob S. Prince, Harvard University, United States; Gabriel Fajardo, Boston College, United States; George A. Alvarez, Talia Konkle, Harvard University, United States

P-3A.10: Object Real-World Size Representations in Human Brains and Artificial Neural Networks

Zitong Lu, Julie Golomb, The Ohio State University, United States

P-3A.11: Individual Neural Stability on Repeated Episode Viewing Experiences

Menghan Yang, Dartmouth College, United States; Pin-hao (Andy) Chen, National Taiwan University, Taiwan; Amanda Brandt, Eshin Jolly, Luke Chang, Dartmouth College, United States

P-3A.12: Generative model for explaining spatial regularity detection behavior of humans while foraging

Jae Young Jeon, Won Mok Shim, Seng Bum Michael Yoo, 1Ctr. for Neurosci. Imaging Res., Inst. for Basic Sci. (IBS), Suwon, Korea, Republic of 2Dept. of Intelligent Precision Healthcare Convergence, Sungkyunkwan Univ., Suwon, Korea, Republic of 3Dept. of Biomed. Engin., Sungkyunkwan Univ., Suwon, Korea, Republic of, Korea (South)

P-3A.13: Task preparation is reflected in neural state space dynamics

Harrison Ritz, Aditi Jha, Jonathan Pillow, Jonathan Cohen, Princeton University, United States

P-3A.14: A new multi-level modeling framework provides evidence for the simulation of object dynamics in the dorsomedial frontal cortex.

Daniel Calbick, Yale University, United States; Jason Kim, Cornell University, United States; Hansem Sohn, Mehrdad Jazayeri, Massachusetts Institute of Technology, United States; Ilker Yildirim, Yale University, United States

P-3A.15: I See! How Narrative Meaning Influences Gaze Behaviour

Eva Berlot, Lea-Maria Schmitt, Radboud University, Netherlands; Christoph Huber-Huber, University of Trento, Italy; Marius Peelen, Floris de Lange, Radboud University, Netherlands

P-3A.16: Predictive representations explain navigation behavior in multigoal environments

Christoffer Gahnstrom, Russell Epstein, University of Pennsylvania, United States

P-3A.17: A weighted generative model of the human connectome

Danyal Akarca, University of Cambridge, United Kingdom; Simona Schiavi, University of Verona, United Kingdom; Jascha Achterberg, University of Cambridge, United Kingdom; Sila Genc, Derek Jones, Cardiff University, United Kingdom; Duncan Astle, University of Cambridge, United Kingdom

P-3A.18: Response to external feedback is reduced in participants with ASD

Nathaniel Zuk, Yarden Weiss, The Hebrew University, Israel; Athena Akrami, University College London, United Kingdom; Merav Ahissar, The Hebrew University, Israel

P-3A.19: Dynamic Inverse Face Graphics: From 2D Videos to 4D Meshes

Lukas Snoek, Rachael Jack, Philippe Schyns, University of Glasgow, United Kingdom

P-3A.20: Factorization of graphs in the compositional reuse of experience

Lennart Luettgau, University College London, United Kingdom; Rani Moran, University College London; Queen Mary University of London, United Kingdom; Tore Erdmann, Sebastijan Veselic, University College London, United Kingdom; Kimberly L. Stachenfeld, DeepMind, United Kingdom; Zeb Kurth-Nelson, University College London; DeepMind, United Kingdom; Raymond J. Dolan, University College London, United Kingdom

P-3A.21: Next-word prediction is not all you need to align language models and human brains

Gabriele Merlin, Mariya Toneva, Max Planck Institute for Software Systems, Germany

P-3A.22: Deep neural networks optimized for both face detection and face discrimination most accurately predict face-selective neurons in macaque inferior temporal cortex

Kohitij Kar, York University, Canada; Nancy Kanwisher, Massachusetts Institute of Technology, United States; Katharina Dobs, Justus-Liebig University Giessen, Germany

P-3A.23: Minimal condition repetitions required in rapid serial visual presentation decoding paradigms

Tijl Grootswagers, Western Sydney University, Australia

P-3A.24: Zero-Shot Visual Numerical Reasoning in Dual-Stream Neural Networks

Jessica A. F. Thompson, Hannah Sheahan, Christopher Summerfield, University of Oxford, United Kingdom

P-3A.25: Driving and suppressing the human language network using large language models

Greta Tuckute, Aalok Sathe, Shashank Srikant, Maya Taliaferro, Mingye Wang, Martin Schrimpf, Massachusetts Institute of Technology, United States; Kendrick Kay, University of Minnesota, United States; Evelina Fedorenko, Massachusetts Institute of Technology, United States

P-3A.26: Confidence optimally modulates decision policy in reinforcement learning

kobe desender, KU Leuven, Belgium; Tom Verguts, UGent, Belgium

P-3A.27: Predictive coding from compression, control, and recurrence in human brain networks

Dale Zhou, University of Pennsylvania, United States; Ivan Tseytlin, Haverford College, United States; Theodore Satterthwaite, Dani Bassett, University of Pennsylvania, United States

P-3A.28: Auditory Cortex Inhibition Affects Performance in a Sound Lateralization Task

Mafalda Valente, Juan R. Castiñeiras de Saa, Alfonso Renart, Champalimaud Foundation, Portugal

P-3A.29: Features and dynamics of social inference and decision-making in naturalistic human interaction

Nina Rouhani, Ralph Adolphs, John O'Doherty, Tessa Rusch, California Institute of Technology, United States

P-3A.30: Bayesian Causal Inference Underlies Sensory Attenuation in Tactile Perception

Anna-Lena Eckert, Philipps-Universität Marburg, Germany; Elena Fuehrer, Katja Fiehler, Justus-Liebig-Universität Gießen, Germany; Dominik Endres, Philipps-Universität Marburg, Germany

P-3A.31: Bootstrapping compositional generalization with cache-and-reuse

Bonan Zhao, Christopher G. Lucas, Neil R. Bramley, University of Edinburgh, United Kingdom

P-3A.32: DuckSoup: a videoconference experimental platform to transform participants’ voice and face in real-time during social interactions.

Pablo Arias Sarah, University of Glasgow, United Kingdom; Guillaume Denis, Independent researcher, France; Lars Hall, Lund University Cognitive Science, Sweden; Jean-Julien Aucouturier, Femto-ST, CNRS, France; Philippe Schyns, Rachael E. Jack, Petter Johansson, University of Glasgow, United Kingdom

P-3A.33: Comparative Analysis of Visual Motion Perception: Computer Vision Models versus Human Vision

Zitang Sun, Yen-Ju Chen, Yung-Hao Yang, Shin'ya Nishida, Kyoto University, Japan

P-3A.34: Evolving plastic networks that can learn novel cognitive tasks

Thomas Miconi, ML Collective, United States

P-3A.35: Learning and adapting cognitive maps for flexible decision-making

Fabian M. Renz, Shany Grossman, Max Planck Institute for Human Development, Germany; Peter Dayan, MPI for Biological Cybernetics, Germany; Christian F. Doeller, MPI for Human Cognitive and Brain Sciences, Germany; Nicolas W. Schuck, Max Planck Institute for Human Development, Germany

P-3A.36: Predictive Coding Networks for Temporal Prediction

Beren Millidge, Mufeng Tang, University of Oxford, United Kingdom; Mahyar Osanlouy, University of Auckland, New Zealand; Rafal Bogacz, University of Oxford, United Kingdom

P-3A.37: Use of Vector- and Transition-based Strategies is Modulated by Knowledge of the Environment in Human Spatial Planning

Denis Lan, Laurence Hunt, Christopher Summerfield, University of Oxford, United Kingdom

P-3A.38: Learning Cognitive State Representations from Neuronal and Behavioural Data

Akshey Kumar, Research Group Neuroinformatics, Austria; Aditya Gilra, Machine Learning Group, Netherlands; Moritz Grosse-Wentrup, Research Group Neuroinformatics, Austria

P-3A.39: Adaptive History Biases in Perceptual Decisions of Mice

Matthias Fritsche, Antara Majumdar, Lauren Strickland, Samuel Liebana Garcia, Rafal Bogacz, Armin Lak, University of Oxford, United Kingdom

P-3A.40: Combining Different Response Data Modalities for Robust Inference in the Hierarchical Gaussian Filter

Alexander J. Hess, Sandra Iglesias, Stefan Frässle, Laura Köchli, Stephanie Marino, Matthias Müller-Schrader, Jakob Heinzle, Translational Neuromodeling Unit, Institute for Biomedical Engineering, UZH & ETH Zurich, Switzerland; Olivia K. Harrison, University of Otago, New Zealand; Lionel Rigoux, Max Planck Institute for Metabolism Research, Germany; Christoph Mathys, Aarhus University, Denmark; Klaas Enno Stephan, Translational Neuromodeling Unit, Institute for Biomedical Engineering, UZH & ETH Zurich, Switzerland

P-3A.41: A decision-theoretic model of perceptual multistability: perceptual switches as internal actions

Shervin Safavi, Peter Dayan, Max Planck Institute for Biological Cybernetics, Germany

P-3A.42: The Impact of Rarely-firing Nodes in Neural Networks on Representational Geometry and Predictions of Human Similarity Judgments

Nhut Truong, Anna Bavaresco, Uri Hasson, University of Trento, Italy

P-3A.43: Mooney Face Image Processing in a Deep Convolutional Neural Network Compared to Humans

Astrid Zeman, University of Melbourne, Australia; Tim Leers, Hans Op de Beeck, KU Leuven, Belgium

P-3A.44: End-to-end reconstruction of natural images from multi-unit recordings with Brain2Pix

Lynn Le, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Netherlands; Paolo Papale, Antonio Lozano, Netherlands Institute for Neuroscience, Netherlands; Thirza Dado, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Netherlands; Feng Wang, Netherlands Institute for Neuroscience, Netherlands; Marcel van Gerven, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Netherlands; Pieter Roelfsema, Netherlands Institute for Neuroscience, Netherlands; Yağmur Güçlütürk, Umut Güçlü, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Netherlands

P-3A.45: Efficient inverse graphics with a differentiable generative model explains robustness of perception to unusual viewing angles

Hakan Yilmaz, Matthew Muellner, Department of Psychology, Yale University, United States; Joshua B. Tenenbaum, Department of Brain & Cognitive Sciences, MIT, United States; Katharina Dobs, Department of Psychology, Justus-Liebig University Giessen, Germany; Ilker Yildirim, Department of Psychology, Yale University, United States

P-3A.46: Collapsed Inference a Unifying Principle of Attention

Ryan Singh, Christopher L. Buckley, University of Sussex, United Kingdom

P-3A.47: Benefits of synchrony: Improving deep neural networks using complex values and Kuramoto synchronization

Sabine Muzellec, CerCo - CNRS / Brown University, France; Andrea Alamia, CerCo - CNRS, France; Thomas Serre, Brown University, United States; Rufin VanRullen, CerCo - CNRS, France

P-3A.48: Hierarchical Predictive Coding across the Auditory Forebrain

Srihita Rudraraju, Michael Turvey, University of California San Diego, United States; Brad Theilman, Sandia National Laboratories, United States; Timothy Gentner, University of California San Diego, United States

P-3A.49: Human Social Interaction Judgements are Uniquely Explained by both Bottom-up Graph Neural Networks and Generative Inverse Planning Models

Manasi Malik, Leyla Isik, Johns Hopkins University, United States

P-3A.50: Joint Models of Response Times and Raw Visual Stimuli from Speeded Decision-Making Tasks

Paul Jaffe, Stanford University, United States; Robert Schafer, Lumos Labs, United States; Russell Poldrack, Patrick Bissett, Stanford University, United States

P-3A.51: Exploring Cognitive Factors in the Bayesian Pain Model: Precision Modulation and Mean Shifts

Andreas Strube, Christian Büchel, University Medical Center Hamburg-Eppendorf, Germany

P-3A.52: Parvalbumin-Positive Neurons in the Globus Pallidus Externus Modulate Task-Irrelevant Behaviors to Balance Exploration and Exploitation

Minryung Song, Institute of Computational Intelligence Science, Korea (South); Shinwoo Kang, Mayo Clinic College of Medicine and Science, United States; Minsu Yang, Korea Advanced Institute of Science and Technology (KAIST), Korea (South); Robert Bruce, Doo-Sup Choi, Mayo Clinic College of Medicine and Science, United States; Sang Wan Lee, Korea Advanced Institute of Science and Technology (KAIST), Korea (South)