Neurodynamical Models of Cognition
FOCUS · M01 · ID: 1067676
Presentations
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How recurrent neural networks infer dynamical models from data for prediction, inference, and source separation
ORAL · Invited
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Presenters
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Zhixin Lu
Allen Institute for Brain Science
Authors
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Zhixin Lu
Allen Institute for Brain Science
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The dynamics of recurrent neural networks throughout learning at the edge of chaos.
ORAL
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Presenters
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Tala Fakhoury
Columbia University
Authors
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Tala Fakhoury
Columbia University
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Robust Memory Manifolds in Neural Networks
ORAL
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Publication: Tankut Can, Kamesh Krishnamurthy, Emergence of Memory Manifolds, arXiv:2109.03879 (2021)
Presenters
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Tankut U Can
Institute for Advanced Study, The School of Natural Sciences at the Institute for Advanced Study at Princeton
Authors
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Tankut U Can
Institute for Advanced Study, The School of Natural Sciences at the Institute for Advanced Study at Princeton
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Kamesh Krishnamurthy
Princeton University
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Mean Field trajectories in a spin model for decision making on the move
ORAL
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Publication: 1. D. Gorbonos, N.S. Gov & I.D. Couzin, Mean Field Trajectories in a Spin Model for Decision-Making on the Move , in preparation.
2. V.H. Sridhar, L. Li, D. Gorbonos, M. Nagy, B.R. Schell, T. Sorochkin, N. S. Gov & I. D. Couzin, The Geometry of Decision-making in Individuals and Collectives, PNAS 118 (50), 2021Presenters
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Dan Gorbonos
Max Planck Institute of Animal Behavior
Authors
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Dan Gorbonos
Max Planck Institute of Animal Behavior
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Nir S Gov
Weizmann Institute of Science
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Iain Couzin
Univeristy of Konstanz and Max Planck Institute of Animal Behavior, University of Konstanz and Max Planck Institute of Animal Behavior
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Transitions in Classical Dynamical Systems
ORAL
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Presenters
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Negin Moharrami Allafi
The Graduate Center, CSI, City University of New York
Authors
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Negin Moharrami Allafi
The Graduate Center, CSI, City University of New York
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Enrique Pujals
The Graduate Center, City University of New York
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Vadim Oganesyan
CUNY, Staten Island, The Graduate Center, City University of New York
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Frequency Shifting and Induced Stability in Systems of Asymmetrically Coupled Oscillators
ORAL
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Presenters
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Joseph C McKinley
Florida Atlantic University
Authors
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Joseph C McKinley
Florida Atlantic University
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Mengsen Zhang
University of North Carolina at Chapel Hill
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Alice Wead
Florida Atlantic University
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Christine Williams
Florida Atlantic University
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Emmanuelle Tognoli
Florida Atlantic University
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Christopher Beetle
Florida Atlantic University
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Dynamics of model oscillatory neuronal networks with adaptive synaptic weights and structure
ORAL
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Publication: Chauhan, K., Khaledi-Nasab, A., Neiman, A.B. et al. Dynamics of phase oscillator networks with synaptic weight and structural plasticity. Sci Rep 12, 15003 (2022). https://doi.org/10.1038/s41598-022-19417-9
Presenters
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Kanishk Chauhan
Ohio University
Authors
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Kanishk Chauhan
Ohio University
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Ali Khaledi-Nasab
Department of Neurosurgery, Stanford University, Stanford, California 94305, USA
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Alexander B Neiman
Department of Physics and Astronomy, Ohio University, Athens, Ohio 45701, USA
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Peter A Tass
Department of Neurosurgery, Stanford University, Stanford, California 94305, USA, Stanford University
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High-Order Accuracy Computation of Coupling Functions for Strongly Coupled Oscillators
ORAL
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Presenters
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Youngmin Park
University of Florida
Authors
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Youngmin Park
University of Florida
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Interpreting polychronization through the lens of tropical geometry
ORAL
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Publication: Published paper doi:10.1145/3451214 describes the initial connection between tropical algebra and temporal coding/temporal computing schemes. Planned paper based on using tropical geometry (eigenspace polytopes) to understand attractor structure in integrate-and-fire neural networks.
Presenters
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Matthew W Daniels
NIST, National Institute of Standards and Technology
Authors
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Matthew W Daniels
NIST, National Institute of Standards and Technology
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Advait Madhavan
National Institute of Standards and Technology, University of Maryland
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Mark D Stiles
National Institute of Standards and Technology
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High-order phase reduction applied to remote synchronization
ORAL
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Publication:
References
[1] E. Gengel, E. Teichmann, M. Rosenblum, and A. Pikovsky, J. of Physics: Complexity, 2, 015005 (2021)
[2] M. Kumar and M. Rosenblum, PRE 104, 054202 (2021)Presenters
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Michael Rosenblum
University of Potsdam, Germany
Authors
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Michael Rosenblum
University of Potsdam, Germany
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Theory of Communication Subspaces for Stochastic Recurrent Neural Networks
ORAL
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Presenters
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Shivang Rawat
New York University
Authors
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Shivang Rawat
New York University
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David J Heeger
New York University
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Stefano Martiniani
New York University
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Modulation of synaptic signaling by calcium feedback loops in dendritic spines
ORAL
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Presenters
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Harper Cho
Yale University
Authors
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Harper Cho
Yale University
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Neurodynamical computing at the information boundaries of intelligent systems
ORAL
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Publication: Monaco JD and Hwang GM. (In revision). Neurodynamical computing at the information boundaries of intelligent systems. Cognitive Computation.
Monaco JD, Rajan K, and Hwang GM. (2021). A brain basis of dynamical intelligence for AI and computational neuroscience. Preprint. arxiv:2105.07284Presenters
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Joseph D Monaco
SelfMotion Labs
Authors
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Joseph D Monaco
SelfMotion Labs
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Grace M Hwang
Johns Hopkins University Applied Physics Laboratory
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