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Eli Shlizerman

Showing results (1-10 of 28) with videos related to

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Physics of Life Reviews|November 19, 2019
Driving the connectome by-wire: Comment on "What would a synthetic connectome look like?" by Ithai RabinowitchEli Shlizerman
Neural Computation|April 19, 2012
Neural dynamics, bifurcations, and firing rates in a quadratic integrate-and-fire model with a recovery variable. I: Deterministic behaviorEli Shlizerman, Philip Holmes
Frontiers in Artificial Intelligence|March 18, 2021
Clustering and Recognition of Spatiotemporal Features Through Interpretable Embedding of Sequence to Sequence Recurrent Neural NetworksKun Su, Eli Shlizerman
Frontiers in Systems Neuroscience|March 21, 2022
Statistical Perspective on Functional and Causal Neural Connectomics: A Comparative StudyRahul Biswas, Eli Shlizerman
Plos Computational Biology|November 14, 2022
Statistical perspective on functional and causal neural connectomics: The Time-Aware PC algorithmRahul Biswas, Eli Shlizerman
Chaos (Woodbury, N.Y.)|April 20, 2005
Hierarchy of bifurcations in the truncated and forced nonlinear Schrödinger modelEli Shlizerman, Vered Rom-Kedar
Physical Review Letters|March 5, 2009
Parabolic resonance: a route to hamiltonian spatiotemporal chaosEli Shlizerman, Vered Rom-Kedar
Physical Review Letters|February 21, 2006
Three types of chaos in the forced nonlinear Schrödinger equationEli Shlizerman, Vered Rom-Kedar
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences|September 12, 2018
Functional connectomics from neural dynamics: probabilistic graphical models for neuronal network of Hexuan Liu, Jimin Kim, Eli Shlizerman
Frontiers in Computational Neuroscience|April 2, 2019
Neural Interactome: Interactive Simulation of a Neuronal SystemJimin Kim, William Leahy, Eli Shlizerman
Pageof 3

Showing results (1-10 of 28) with videos related to

Sort By:
Pageof 3
Physics of Life Reviews|November 19, 2019
Driving the connectome by-wire: Comment on "What would a synthetic connectome look like?" by Ithai RabinowitchEli Shlizerman
Neural Computation|April 19, 2012
Neural dynamics, bifurcations, and firing rates in a quadratic integrate-and-fire model with a recovery variable. I: Deterministic behaviorEli Shlizerman, Philip Holmes
Frontiers in Artificial Intelligence|March 18, 2021
Clustering and Recognition of Spatiotemporal Features Through Interpretable Embedding of Sequence to Sequence Recurrent Neural NetworksKun Su, Eli Shlizerman
Frontiers in Systems Neuroscience|March 21, 2022
Statistical Perspective on Functional and Causal Neural Connectomics: A Comparative StudyRahul Biswas, Eli Shlizerman
Plos Computational Biology|November 14, 2022
Statistical perspective on functional and causal neural connectomics: The Time-Aware PC algorithmRahul Biswas, Eli Shlizerman
Chaos (Woodbury, N.Y.)|April 20, 2005
Hierarchy of bifurcations in the truncated and forced nonlinear Schrödinger modelEli Shlizerman, Vered Rom-Kedar
Physical Review Letters|March 5, 2009
Parabolic resonance: a route to hamiltonian spatiotemporal chaosEli Shlizerman, Vered Rom-Kedar
Physical Review Letters|February 21, 2006
Three types of chaos in the forced nonlinear Schrödinger equationEli Shlizerman, Vered Rom-Kedar
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences|September 12, 2018
Functional connectomics from neural dynamics: probabilistic graphical models for neuronal network of Hexuan Liu, Jimin Kim, Eli Shlizerman
Frontiers in Computational Neuroscience|April 2, 2019
Neural Interactome: Interactive Simulation of a Neuronal SystemJimin Kim, William Leahy, Eli Shlizerman
Pageof 3