Physics of the Brain: Structure and Dynamics I
FOCUS · L23 · ID: 354407
Presentations
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A structured representation of odors in the fly mushroom body
Invited
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Presenters
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Elizabeth J Hong
Division of Biology & Biological Engineering, California Institute of Technology
Authors
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Jie-Yoon Yang
Division of Biology & Biological Engineering, California Institute of Technology
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Elizabeth J Hong
Division of Biology & Biological Engineering, California Institute of Technology
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Inferring causality in highly-synchronized dynamics
ORAL
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Presenters
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Josuan Calderon
Emory University
Authors
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Josuan Calderon
Emory University
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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
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Presenters
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Melia Bonomo
Department of Physics and Astronomy, Rice University
Authors
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Melia Bonomo
Department of Physics and Astronomy, Rice University
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Christof Karmonik
Magnetic Resonance Imaging Core, Center for Performing Arts Medicine, Houston Methodist Research Institute
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Anthony K Brandt
Shepherd School of Music, Rice University
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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
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Presenters
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Vincent Hakim
Ecole Normale Superieure
Authors
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Jonas Ranft
IBENS, Ecole Normale Superieure
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Anirudh Kulkarni
Institut de la Vision, Inserm
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Vincent Hakim
Ecole Normale Superieure
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Searching for emergent long time scales without fine tuning
ORAL
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Presenters
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Xiaowen Chen
Princeton University
Authors
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Xiaowen Chen
Princeton University
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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
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Presenters
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Robert Gütig
Mathematical modeling of neuronal learning, Charite Medical School Berlin
Authors
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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
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Presenters
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Audrey Sederberg
Emory University
Authors
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Audrey Sederberg
Emory University
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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
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Presenters
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Alexander Kuczala
Salk Inst
Authors
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Alexander Kuczala
Salk Inst
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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
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Presenters
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Peter Robinson
Physics, Univ of Sydney
Authors
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Peter Robinson
Physics, Univ of Sydney
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xiao gao
Physics, Univ of Sydney
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Yinuo Han
Physics, Univ of Sydney
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Directed effective connectivity of in vitro neuronal networks revealed from electrophysiological recordings
ORAL
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Presenters
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Emily S.C. Ching
Department of Physics, Chinese Univ of Hong Kong
Authors
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Chumin Sun
Department of Physics, Chinese Univ of Hong Kong
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K.C. Lin
Department of Physics, Chinese Univ of Hong Kong
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Yu-Ting, Huang
Institute of Physics, Academia Sinica
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Emily S.C. Ching
Department of Physics, Chinese Univ of Hong Kong
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Pik-Yin Lai
Natl Central Univ, Dept. of Physics and Center for Complex Systems, National Central University, Department of Physics, National Central University, Taiwan
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C.K. Chan
Institute of Physics, Academia Sinica
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