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Eric Shea-Brown

Showing results (31-40 of 66) with videos related to

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Plos Computational Biology|April 19, 2017
Robust information propagation through noisy neural circuitsJoel Zylberberg, Alexandre Pouget, Peter E Latham, et al.
Frontiers in Computational Neuroscience|February 26, 2014
When do microcircuits produce beyond-pairwise correlations?Andrea K Barreiro, Julijana Gjorgjieva, Fred Rieke, et al.
Arxiv|December 4, 2023
Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEsJames Hazelden, Yuhan Helena Liu, Eli Shlizerman, et al.
Neural Computation|February 24, 2023
Heterogeneity in Neuronal Dynamics Is Learned by Gradient Descent for Temporal Processing TasksChloe N Winston, Dana Mastrovito, Eric Shea-Brown, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|May 24, 2011
Stochastic differential equation models for ion channel noise in Hodgkin-Huxley neuronsJoshua H Goldwyn, Nikita S Imennov, Michael Famulare, et al.
Physical Review Letters|March 21, 2008
Correlation and synchrony transfer in integrate-and-fire neurons: basic properties and consequences for codingEric Shea-Brown, Kresimir Josić, Jaime de la Rocha, et al.
Plos Computational Biology|December 16, 2016
Encoding in Balanced Networks: Revisiting Spike Patterns and Chaos in Stimulus-Driven SystemsGuillaume Lajoie, Kevin K Lin, Jean-Philippe Thivierge, et al.
Plos Computational Biology|June 24, 2017
Linking structure and activity in nonlinear spiking networksGabriel Koch Ocker, Krešimir Josić, Eric Shea-Brown, et al.
Plos Computational Biology|July 13, 2019
Dimensionality in recurrent spiking networks: Global trends in activity and local origins in connectivityStefano Recanatesi, Gabriel Koch Ocker, Michael A Buice, et al.
Neural Computation|July 29, 2009
Stimulus-dependent correlations and population codesKresimir Josić, Eric Shea-Brown, Brent Doiron, et al.
Pageof 7

Showing results (31-40 of 66) with videos related to

Sort By:
Pageof 7
Plos Computational Biology|April 19, 2017
Robust information propagation through noisy neural circuitsJoel Zylberberg, Alexandre Pouget, Peter E Latham, et al.
Frontiers in Computational Neuroscience|February 26, 2014
When do microcircuits produce beyond-pairwise correlations?Andrea K Barreiro, Julijana Gjorgjieva, Fred Rieke, et al.
Arxiv|December 4, 2023
Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEsJames Hazelden, Yuhan Helena Liu, Eli Shlizerman, et al.
Neural Computation|February 24, 2023
Heterogeneity in Neuronal Dynamics Is Learned by Gradient Descent for Temporal Processing TasksChloe N Winston, Dana Mastrovito, Eric Shea-Brown, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|May 24, 2011
Stochastic differential equation models for ion channel noise in Hodgkin-Huxley neuronsJoshua H Goldwyn, Nikita S Imennov, Michael Famulare, et al.
Physical Review Letters|March 21, 2008
Correlation and synchrony transfer in integrate-and-fire neurons: basic properties and consequences for codingEric Shea-Brown, Kresimir Josić, Jaime de la Rocha, et al.
Plos Computational Biology|December 16, 2016
Encoding in Balanced Networks: Revisiting Spike Patterns and Chaos in Stimulus-Driven SystemsGuillaume Lajoie, Kevin K Lin, Jean-Philippe Thivierge, et al.
Plos Computational Biology|June 24, 2017
Linking structure and activity in nonlinear spiking networksGabriel Koch Ocker, Krešimir Josić, Eric Shea-Brown, et al.
Plos Computational Biology|July 13, 2019
Dimensionality in recurrent spiking networks: Global trends in activity and local origins in connectivityStefano Recanatesi, Gabriel Koch Ocker, Michael A Buice, et al.
Neural Computation|July 29, 2009
Stimulus-dependent correlations and population codesKresimir Josić, Eric Shea-Brown, Brent Doiron, et al.
Pageof 7