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Eric Shea-Brown

Showing results (1-10 of 66) with videos related to

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Trends in Neurosciences|May 11, 2020
Network Dynamics Governed by Lyapunov Functions: From Memory to ClassificationMerav Stern, Eric Shea-Brown
Current Opinion in Neurobiology|May 18, 2012
Computational models of decision making: integration, stability, and noiseNicholas Cain, Eric Shea-Brown
Neural Computation|November 15, 2012
Impact of correlated neural activity on decision-making performanceNicholas Cain, Eric Shea-Brown
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|January 15, 2016
Input nonlinearities can shape beyond-pairwise correlations and improve information transmission by neural populationsJoel Zylberberg, Eric Shea-Brown
Journal of Mathematical Neuroscience|August 13, 2015
A Simple Mechanism for Beyond-Pairwise Correlations in Integrate-and-Fire NeuronsDavid A Leen, Eric Shea-Brown
Plos Computational Biology|November 30, 2011
The what and where of adding channel noise to the Hodgkin-Huxley equationsJoshua H Goldwyn, Eric Shea-Brown
Current Opinion in Neurobiology|September 27, 2023
From lazy to rich to exclusive task representations in neural networks and neural codesMatthew Farrell, Stefano Recanatesi, Eric Shea-Brown
Neural Computation|March 23, 2018
Predictive Coding in Area V4: Dynamic Shape Discrimination under Partial OcclusionHannah Choi, Anitha Pasupathy, Eric Shea-Brown
Neural Computation|April 24, 2013
Neutral stability, rate propagation, and critical branching in feedforward networksN Alex Cayco-Gajic, Eric Shea-Brown
Current Opinion in Neurobiology|July 17, 2012
Information theoretic approaches to understanding circuit functionAdrienne Fairhall, Eric Shea-Brown, Andrea Barreiro
Pageof 7

Showing results (1-10 of 66) with videos related to

Sort By:
Pageof 7
Trends in Neurosciences|May 11, 2020
Network Dynamics Governed by Lyapunov Functions: From Memory to ClassificationMerav Stern, Eric Shea-Brown
Current Opinion in Neurobiology|May 18, 2012
Computational models of decision making: integration, stability, and noiseNicholas Cain, Eric Shea-Brown
Neural Computation|November 15, 2012
Impact of correlated neural activity on decision-making performanceNicholas Cain, Eric Shea-Brown
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|January 15, 2016
Input nonlinearities can shape beyond-pairwise correlations and improve information transmission by neural populationsJoel Zylberberg, Eric Shea-Brown
Journal of Mathematical Neuroscience|August 13, 2015
A Simple Mechanism for Beyond-Pairwise Correlations in Integrate-and-Fire NeuronsDavid A Leen, Eric Shea-Brown
Plos Computational Biology|November 30, 2011
The what and where of adding channel noise to the Hodgkin-Huxley equationsJoshua H Goldwyn, Eric Shea-Brown
Current Opinion in Neurobiology|September 27, 2023
From lazy to rich to exclusive task representations in neural networks and neural codesMatthew Farrell, Stefano Recanatesi, Eric Shea-Brown
Neural Computation|March 23, 2018
Predictive Coding in Area V4: Dynamic Shape Discrimination under Partial OcclusionHannah Choi, Anitha Pasupathy, Eric Shea-Brown
Neural Computation|April 24, 2013
Neutral stability, rate propagation, and critical branching in feedforward networksN Alex Cayco-Gajic, Eric Shea-Brown
Current Opinion in Neurobiology|July 17, 2012
Information theoretic approaches to understanding circuit functionAdrienne Fairhall, Eric Shea-Brown, Andrea Barreiro
Pageof 7