Physics of Neural Systems
ORAL · X27 · ID: 354408
Presentations
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Unifying criticality and the neutral theory of neural avalanches
ORAL
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Presenters
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Sakib Matin
Boston Univ
Authors
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Sakib Matin
Boston Univ
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Thomas Tenzin
Boston Univ
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W. Klein
Boston Univ
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Spontaneous spatial symmetry breaking in excitatory neuronal networks and its effects in sparsely connected networks.
ORAL
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Presenters
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Mihai Bibireata
University of California, Los Angeles
Authors
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Mihai Bibireata
University of California, Los Angeles
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Valentin Slepukhin
University of California, Los Angeles
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Alex Levine
University of California, Los Angeles, Physics, UCLA
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A model for oscillatory gating of information flow between neural circuits as a function of local recurrence
ORAL
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Presenters
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Mikail Khona
Massachusetts Institute of Technology MIT
Authors
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Mikail Khona
Massachusetts Institute of Technology MIT
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Ila R fiete
Massachusetts Institute of Technology MIT
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Quasicriticality or Criticality in the brain?
ORAL
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Presenters
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Leandro Fosque
Indiana Univ - Bloomington
Authors
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Leandro Fosque
Indiana Univ - Bloomington
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John Beggs
Indiana Univ - Bloomington
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Gerardo Ortiz
Indiana Univ - Bloomington
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Rashid Williams-Garcia
Mathematics, University of Pittsburgh
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Compression as a path to simpler models of collective neural activity
ORAL
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Presenters
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Luisa Ramirez
Univ Fed de Minas Gerais
Authors
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Luisa Ramirez
Univ Fed de Minas Gerais
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William S Bialek
princeton university, Department of Physics, Princeton University, Princeton University, Physics, Princeton University
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Effects of local excitations on large-scale brain network dynamics: Insights from coupled Wilson-Cowan oscillators under perturbative stimulation
ORAL
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Presenters
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Evangelia Papadopoulos
University of Pennsylvania
Authors
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Evangelia Papadopoulos
University of Pennsylvania
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Christopher Lynn
University of Pennsylvania
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Demian Battaglia
Aix-Marseille University
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Danielle Bassett
University of Pennsylvania
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Robust simplicity in the multimodal sensory control of insect flight.
ORAL
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Presenters
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Simon Sponberg
Georgia Inst of Tech, Physics, Georgia Institute of Technology, School of Physics & School of Biological Sciences, Georgia Institute of Technology
Authors
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Simon Sponberg
Georgia Inst of Tech, Physics, Georgia Institute of Technology, School of Physics & School of Biological Sciences, Georgia Institute of Technology
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Varun Sharma
Georgia Inst of Tech
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Scalable maximally informative dimensions analysis of deep neural networks
ORAL
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Presenters
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Jimmy Kim
Northwestern University
Authors
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Jimmy Kim
Northwestern University
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David J. Schwab
Institute for Theoretical Science, CUNY Graduate Center, Initiative for the Theoretical Sciences, The Graduate Center, City University of New York, City University of New York
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Inferring structure-function relationships in neural networks from geometric features of their error landscapes
ORAL
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Presenters
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James Fitzgerald
Janelia Research Campus
Authors
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James Fitzgerald
Janelia Research Campus
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Tirthabir Biswas
Janelia Research Campus
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An olfactory pattern generator for functional neural circuit analysis in <i>Drosophila</i> larva
ORAL
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Presenters
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Guangwei Si
Harvard University
Authors
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Guangwei Si
Harvard University
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Jacob Baron
Harvard University
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Yu Feng
Harvard University
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Aravinthan Samuel
Harvard University
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Sequential and efficient neural-population coding of complex task information
ORAL
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Presenters
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Sue Ann Koay
Princeton Neuroscience Institute, Princeton University
Authors
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Sue Ann Koay
Princeton Neuroscience Institute, Princeton University
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Stephan Y Thiberge
Bezos Center for Neural Dynamics, Princeton University
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Carlos Brody
Princeton Neuroscience Institute, Princeton University, Princeton University
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David Tank
Princeton Neuroscience Institute, Princeton University, Princeton University
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Heterogeneity of timescales in random networks with bistable units
ORAL
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Presenters
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Nicolae Istrate
Department of Physics, Institute of Neuroscience, University of Oregon
Authors
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Nicolae Istrate
Department of Physics, Institute of Neuroscience, University of Oregon
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Merav Stern
Department of Applied Mathematics, University of Washington
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Luca Mazzucato
Departments of Biology and Mathematics, Institute of Neuroscience, University of Oregon
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Recurrent Neural Networks Learn Simple Computations on Complex Time Series through Examples
ORAL
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Presenters
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Jason Kim
University of Pennsylvania
Authors
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Jason Kim
University of Pennsylvania
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Zhixin Lu
University of Pennsylvania
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Danielle Bassett
University of Pennsylvania
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Universal scaling laws of interaction time distribution in honeybee and human social networks
ORAL
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Presenters
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Sang Hyun Choi
University of Illinois at Urbana-Champaign
Authors
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Sang Hyun Choi
University of Illinois at Urbana-Champaign
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Vikyath D Rao
University of Illinois at Urbana-Champaign
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Tim Gernat
University of Illinois at Urbana-Champaign
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Adam Hamilton
University of Illinois at Urbana-Champaign
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Gene Robinson
University of Illinois at Urbana-Champaign
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Nigel Goldenfeld
University of Illinois at Urbana-Champaign, Department of Physics, University of Illinois at Urbana-Champaign, Physics, University of Illinois at Urbana-Champaign
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Social inhibition maintains adaptivity and consensus of honey bees foraging in dynamic environments
ORAL
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Presenters
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Subekshya Bidari
University of Colorado, Boulder
Authors
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Subekshya Bidari
University of Colorado, Boulder
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Zachary Kilpatrick
University of Colorado, Boulder
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Orit Peleg
University of Colorado, Boulder, University of Colorado Boulder
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