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David Sussillo

Showing results (11-20 of 30) with videos related to

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Nature Neuroscience|June 16, 2015
A neural network that finds a naturalistic solution for the production of muscle activityDavid Sussillo, Mark M Churchland, Matthew T Kaufman, et al.
Current Opinion in Neurobiology|November 1, 2019
Harnessing behavioral diversity to understand neural computations for cognitionSimon Musall, Anne E Urai, David Sussillo, et al.
Nature|November 9, 2013
Context-dependent computation by recurrent dynamics in prefrontal cortexValerio Mante, David Sussillo, Krishna V Shenoy, et al.
Neuron|January 11, 2023
The centrality of population-level factors to network computation is demonstrated by a versatile approach for training spiking networksBrian DePasquale, David Sussillo, L F Abbott, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|December 1, 2006
Modular propagation of epileptiform activity: evidence for an inhibitory veto in neocortexAndrew J Trevelyan, David Sussillo, Brendon O Watson, et al.
Annual Review of Neuroscience|July 10, 2020
Computation Through Neural Population DynamicsSaurabh Vyas, Matthew D Golub, David Sussillo, et al.
Advances in Neural Information Processing Systems|August 13, 2020
Universality and individuality in neural dynamics across large populations of recurrent networksNiru Maheswaranathan, Alex H Williams, Matthew D Golub, et al.
Progress in Neurobiology|February 27, 2013
From fixed points to chaos: three models of delayed discriminationOmri Barak, David Sussillo, Ranulfo Romo, et al.
Advances in Neural Information Processing Systems|August 13, 2020
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamicsNiru Maheswaranathan, Alex H Williams, Matthew D Golub, et al.
Nature Communications|December 14, 2016
Making brain-machine interfaces robust to future neural variabilityDavid Sussillo, Sergey D Stavisky, Jonathan C Kao, et al.
Pageof 3

Showing results (11-20 of 30) with videos related to

Sort By:
Pageof 3
Nature Neuroscience|June 16, 2015
A neural network that finds a naturalistic solution for the production of muscle activityDavid Sussillo, Mark M Churchland, Matthew T Kaufman, et al.
Current Opinion in Neurobiology|November 1, 2019
Harnessing behavioral diversity to understand neural computations for cognitionSimon Musall, Anne E Urai, David Sussillo, et al.
Nature|November 9, 2013
Context-dependent computation by recurrent dynamics in prefrontal cortexValerio Mante, David Sussillo, Krishna V Shenoy, et al.
Neuron|January 11, 2023
The centrality of population-level factors to network computation is demonstrated by a versatile approach for training spiking networksBrian DePasquale, David Sussillo, L F Abbott, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|December 1, 2006
Modular propagation of epileptiform activity: evidence for an inhibitory veto in neocortexAndrew J Trevelyan, David Sussillo, Brendon O Watson, et al.
Annual Review of Neuroscience|July 10, 2020
Computation Through Neural Population DynamicsSaurabh Vyas, Matthew D Golub, David Sussillo, et al.
Advances in Neural Information Processing Systems|August 13, 2020
Universality and individuality in neural dynamics across large populations of recurrent networksNiru Maheswaranathan, Alex H Williams, Matthew D Golub, et al.
Progress in Neurobiology|February 27, 2013
From fixed points to chaos: three models of delayed discriminationOmri Barak, David Sussillo, Ranulfo Romo, et al.
Advances in Neural Information Processing Systems|August 13, 2020
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamicsNiru Maheswaranathan, Alex H Williams, Matthew D Golub, et al.
Nature Communications|December 14, 2016
Making brain-machine interfaces robust to future neural variabilityDavid Sussillo, Sergey D Stavisky, Jonathan C Kao, et al.
Pageof 3