Statistical and Dynamical Physics of the Brain
FOCUS · MAR-B69 · ID: 3096638
Presentations
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How Flies Compute with Vectors
ORAL · Invited
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Presenters
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Larry F Abbott
Columbia University
Authors
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Larry F Abbott
Columbia University
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Geometric model manifold of space, time, and belief in hippocampal cognitive maps
ORAL
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Publication: Geometric model manifold of space, time, and belief in hippocampal cognitive maps (in prep.)
Presenters
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Jason Z Kim
Cornell University
Authors
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Jason Z Kim
Cornell University
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James Patarasp Sethna
Cornell University
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Itai Cohen
Cornell University
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Weinan Sun
Cornell University
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Neural correlations and predictive coding
ORAL
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Presenters
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Kyle Bojanek
University of Chicago
Authors
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Kyle Bojanek
University of Chicago
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Olivier Marre
Institut de la Vision, Sorbonne Universite, Institut de la Vision, Sorbonne Université, INSERM, Paris, France
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Stephanie E Palmer
University of Chicago
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Spontaneous up-down transitions in stochastic leaky integrate-and-fire networks
ORAL
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Publication: Siddharth Paliwal, Gabriel Koch Ocker, Braden A. W. Brinkman, Metastability in networks of nonlinear stochastic integrate-and-fire neurons, arxiv: 2406.07445, https://arxiv.org/abs/2406.07445
Presenters
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Siddharth Paliwal
Stony Brook University (SUNY)
Authors
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Siddharth Paliwal
Stony Brook University (SUNY)
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Matthew Szuromi
Boston University
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Gabriel K Ocker
Boston University
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Braden Brinkman
Stony Brook University
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Response functions disambiguate intrinsic versus inherited criticality in spiking neural networks
ORAL
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Publication: Manuscript in preparation.
Presenters
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Jacob T Crosser
Stony Brook University
Authors
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Jacob T Crosser
Stony Brook University
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Braden Brinkman
Stony Brook University
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Brain dynamics in an Ising-like class of adaptive neural networks: from oscillations to scaling in collective behaviors
ORAL
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Publication: Fabrizio Lombardi , Selver Pepić, Oren Shriki, Gašper Tkačik, Daniele De Martino. Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain. Nat. Comp. Sci. 3, 254–263, 2023
Presenters
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Fabrizio Lombardi
University of Padova
Authors
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Fabrizio Lombardi
University of Padova
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Oren Shriki
Ben-Gurion University of the Negev
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Daniele De Martino
Biofisika Institute, Bilbao
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Gasper Tkacik
Institute of Science and Technology Austria
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Neural subspaces and the limits of mean-field theory
ORAL
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Presenters
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Francesca Mignacco
The Graduate Center, City University of New York
Authors
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Francesca Mignacco
The Graduate Center, City University of New York
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Christopher W Lynn
Yale University
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William S Bialek
Princeton University
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Statistical physics of large-scale neural activity with loops
ORAL
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Presenters
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David Carcamo
Yale University
Authors
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David Carcamo
Yale University
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Christopher W Lynn
Yale University
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Minimax entropy models for human whole-brain activity
ORAL
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Presenters
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Nick Weaver
Yale University
Authors
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Nick Weaver
Yale University
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Christopher W Lynn
Yale University
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Connecting the Connectome to Neural Activity
ORAL
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Presenters
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Cheyne Weis
University of Chicago
Authors
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Cheyne Weis
University of Chicago
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Stephan Ilhe
University of Chicago
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Xiaoyuan Huang
University of Chicago
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Peter B Littlewood
University of Chicago
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A Recurrent Neural Circuit Theory of Normalization and Inter-area Communication.
ORAL
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Presenters
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Asit Pal
New York University (NYU)
Authors
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Asit Pal
New York University (NYU)
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Shivang Rawat
New York University (NYU)
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David J Heeger
New York University
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Stefano Martiniani
New York University (NYU)
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Geometry of activity in random networks under external inputs
ORAL
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Presenters
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Zehui Zhao
Emory University
Authors
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Zehui Zhao
Emory University
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Michael Jeremy Pasek
Emory University
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Ilya M Nemenman
Emory University
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Unconditional stability of a recurrent circuit implementing divisive normalization
ORAL
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Presenters
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Shivang Rawat
New York University (NYU)
Authors
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Shivang Rawat
New York University (NYU)
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David J Heeger
New York University
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Stefano Martiniani
New York University (NYU)
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