Physics of the Brain: Structure and Dynamics I

Presentations

• A structured representation of odors in the fly mushroom body

  Invited

  March 4, 2020, 8:00 AM – March 4, 2020, 8:36 AM

  Presenters

  • Elizabeth J Hong

    • Division of Biology & Biological Engineering, California Institute of Technology

  Authors

  • Jie-Yoon Yang

    • Division of Biology & Biological Engineering, California Institute of Technology

  • Elizabeth J Hong

    • Division of Biology & Biological Engineering, California Institute of Technology

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• Inferring causality in highly-synchronized dynamics

  ORAL

  March 4, 2020, 8:36 AM – March 4, 2020, 8:48 AM

  Presenters

  • Josuan Calderon

    • Emory University

  Authors

  • Josuan Calderon

    • Emory University

  • Gordon Berman

    • Emory University
    • Biology, Emory University
    • Departments of Physics and Biology, Emory University, Atlanta, GA

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• Modularity allows classification of human brain networks during music and speech perception

  ORAL

  March 4, 2020, 8:48 AM – March 4, 2020, 9:00 AM

  Presenters

  • Melia Bonomo

    • Department of Physics and Astronomy, Rice University

  Authors

  • Melia Bonomo

    • Department of Physics and Astronomy, Rice University

  • Christof Karmonik

    • Magnetic Resonance Imaging Core, Center for Performing Arts Medicine, Houston Methodist Research Institute

  • Anthony K Brandt

    • Shepherd School of Music, Rice University

  • J Todd Frazier

    • Center for Performing Arts Medicine, Houston Methodist Hospital

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• Synchronization, waves and stochasticity in spatially structured neuronal networks

  ORAL

  March 4, 2020, 9:00 AM – March 4, 2020, 9:12 AM

  Presenters

  • Vincent Hakim

    • Ecole Normale Superieure

  Authors

  • Jonas Ranft

    • IBENS, Ecole Normale Superieure

  • Anirudh Kulkarni

    • Institut de la Vision, Inserm

  • Vincent Hakim

    • Ecole Normale Superieure

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• Searching for emergent long time scales without fine tuning

  ORAL

  March 4, 2020, 9:12 AM – March 4, 2020, 9:24 AM

  Presenters

  • Xiaowen Chen

    • Princeton University

  Authors

  • Xiaowen Chen

    • Princeton University

  • William S Bialek

    • princeton university
    • Department of Physics, Princeton University
    • Princeton University
    • Physics, Princeton University

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• Margin learning in spiking neural networks

  Invited

  March 4, 2020, 9:24 AM – March 4, 2020, 10:00 AM

  Presenters

  • Robert Gütig

    • Mathematical modeling of neuronal learning, Charite Medical School Berlin

  Authors

  • Robert Gütig

    • Mathematical modeling of neuronal learning, Charite Medical School Berlin

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• Randomly connected networks generate emergent selectivity and predict decoding properties of large populations of neurons

  ORAL

  March 4, 2020, 10:00 AM – March 4, 2020, 10:12 AM

  Presenters

  • Audrey Sederberg

    • Emory University

  Authors

  • Audrey Sederberg

    • Emory University

  • Ilya M Nemenman

    • Emory University
    • Physics, Emory
    • Physics, Emory University

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• Impact of correlated connections in large recurrent networks with mesoscopic structure

  ORAL

  March 4, 2020, 10:12 AM – March 4, 2020, 10:24 AM

  Presenters

  • Alexander Kuczala

    • Salk Inst

  Authors

  • Alexander Kuczala

    • Salk Inst

  • Tatyana Olegivna Sharpee

    • Salk Inst
    • Salk Institute for Biological Studies
    • Salk Institute

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• Relationships Between Lognormal Distributions of Neural Properties and Connectivities

  ORAL

  March 4, 2020, 10:24 AM – March 4, 2020, 10:36 AM

  Presenters

  • Peter Robinson

    • Physics, Univ of Sydney

  Authors

  • Peter Robinson

    • Physics, Univ of Sydney

  • xiao gao

    • Physics, Univ of Sydney

  • Yinuo Han

    • Physics, Univ of Sydney

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• Directed effective connectivity of in vitro neuronal networks revealed from electrophysiological recordings

  ORAL

  March 4, 2020, 10:36 AM – March 4, 2020, 10:48 AM

  Presenters

  • Emily S.C. Ching

    • Department of Physics, Chinese Univ of Hong Kong

  Authors

  • Chumin Sun

    • Department of Physics, Chinese Univ of Hong Kong

  • K.C. Lin

    • Department of Physics, Chinese Univ of Hong Kong

  • Yu-Ting, Huang

    • Institute of Physics, Academia Sinica

  • Emily S.C. Ching

    • Department of Physics, Chinese Univ of Hong Kong

  • Pik-Yin Lai

    • Natl Central Univ
    • Dept. of Physics and Center for Complex Systems, National Central University
    • Department of Physics, National Central University, Taiwan

  • C.K. Chan

    • Institute of Physics, Academia Sinica

  View abstract →