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Andrea K Barreiro

Showing results (1-10 of 18) with videos related to

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Journal of Mathematical Neuroscience|June 7, 2018
Investigating the Correlation-Firing Rate Relationship in Heterogeneous Recurrent NetworksAndrea K Barreiro, Cheng Ly
Plos Computational Biology|April 28, 2017
When do correlations increase with firing rates in recurrent networks?Andrea K Barreiro, Cheng Ly
Physical Review. E|September 28, 2017
Practical approximation method for firing-rate models of coupled neural networks with correlated inputsAndrea K Barreiro, Cheng Ly
Journal of Mathematical Neuroscience|October 12, 2017
Symmetries Constrain Dynamics in a Family of Balanced Neural NetworksAndrea K Barreiro, J Nathan Kutz, Eli Shlizerman
Journal of Mathematical Neuroscience|May 11, 2019
Efficient calculation of heterogeneous non-equilibrium statistics in coupled firing-rate modelsCheng Ly, Woodrow L Shew, Andrea K Barreiro
Journal of Computational Neuroscience|September 2, 2008
Bifurcation theory explains waveform variability in a congenital eye movement disorderAndrea K Barreiro, Jared C Bronski, Thomas J Anastasio
Royal Society Open Science|October 10, 2017
A geometric method for eigenvalue problems with low-rank perturbationsThomas J Anastasio, Andrea K Barreiro, Jared C Bronski
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|April 7, 2010
Time scales of spike-train correlation for neural oscillators with common driveAndrea K Barreiro, Eric Shea-Brown, Evan L Thilo
Journal of Neurophysiology|June 8, 2012
A-current and type I/type II transition determine collective spiking from common inputAndrea K Barreiro, Evan L Thilo, Eric Shea-Brown
Journal of Neurophysiology|March 1, 2013
Neural integrators for decision making: a favorable tradeoff between robustness and sensitivityNicholas Cain, Andrea K Barreiro, Michael Shadlen, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Journal of Mathematical Neuroscience|June 7, 2018
Investigating the Correlation-Firing Rate Relationship in Heterogeneous Recurrent NetworksAndrea K Barreiro, Cheng Ly
Plos Computational Biology|April 28, 2017
When do correlations increase with firing rates in recurrent networks?Andrea K Barreiro, Cheng Ly
Physical Review. E|September 28, 2017
Practical approximation method for firing-rate models of coupled neural networks with correlated inputsAndrea K Barreiro, Cheng Ly
Journal of Mathematical Neuroscience|October 12, 2017
Symmetries Constrain Dynamics in a Family of Balanced Neural NetworksAndrea K Barreiro, J Nathan Kutz, Eli Shlizerman
Journal of Mathematical Neuroscience|May 11, 2019
Efficient calculation of heterogeneous non-equilibrium statistics in coupled firing-rate modelsCheng Ly, Woodrow L Shew, Andrea K Barreiro
Journal of Computational Neuroscience|September 2, 2008
Bifurcation theory explains waveform variability in a congenital eye movement disorderAndrea K Barreiro, Jared C Bronski, Thomas J Anastasio
Royal Society Open Science|October 10, 2017
A geometric method for eigenvalue problems with low-rank perturbationsThomas J Anastasio, Andrea K Barreiro, Jared C Bronski
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|April 7, 2010
Time scales of spike-train correlation for neural oscillators with common driveAndrea K Barreiro, Eric Shea-Brown, Evan L Thilo
Journal of Neurophysiology|June 8, 2012
A-current and type I/type II transition determine collective spiking from common inputAndrea K Barreiro, Evan L Thilo, Eric Shea-Brown
Journal of Neurophysiology|March 1, 2013
Neural integrators for decision making: a favorable tradeoff between robustness and sensitivityNicholas Cain, Andrea K Barreiro, Michael Shadlen, et al.
Pageof 2