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Omri Barak

Showing results (1-10 of 39) with videos related to

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Current Opinion in Neurobiology|July 3, 2017
Recurrent neural networks as versatile tools of neuroscience researchOmri Barak
Neural Computation|August 9, 2019
One Step Back, Two Steps Forward: Interference and Learning in Recurrent Neural NetworksChen Beer, Omri Barak
Plos Computational Biology|February 27, 2007
Persistent activity in neural networks with dynamic synapsesOmri Barak, Misha Tsodyks
Neural Computation|January 1, 2013
Opening the black box: low-dimensional dynamics in high-dimensional recurrent neural networksDavid Sussillo, Omri Barak
Neural Computation|August 16, 2006
Recognition by variance: learning rules for spatiotemporal patternsOmri Barak, Misha Tsodyks
Current Opinion in Neurobiology|April 9, 2014
Working models of working memoryOmri Barak, Misha Tsodyks
Physical Review Letters|July 12, 2017
Local Dynamics in Trained Recurrent Neural NetworksAlexander Rivkind, Omri Barak
Current Opinion in Neurobiology|April 12, 2023
Mathematical models of learning and what can be learned from themOmri Barak, Misha Tsodyks
Current Opinion in Neurobiology|November 8, 2025
Corrigendum to "Mathematical models of learning and what can be learned from them" [Curr Opin Neurobiol 80 (2023)]Omri Barak, Misha Tsodyks
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|March 29, 2017
Dynamical Timescale Explains Marginal Stability in Excitability DynamicsTie Xu, Omri Barak
Pageof 4

Showing results (1-10 of 39) with videos related to

Sort By:
Pageof 4
Current Opinion in Neurobiology|July 3, 2017
Recurrent neural networks as versatile tools of neuroscience researchOmri Barak
Neural Computation|August 9, 2019
One Step Back, Two Steps Forward: Interference and Learning in Recurrent Neural NetworksChen Beer, Omri Barak
Plos Computational Biology|February 27, 2007
Persistent activity in neural networks with dynamic synapsesOmri Barak, Misha Tsodyks
Neural Computation|January 1, 2013
Opening the black box: low-dimensional dynamics in high-dimensional recurrent neural networksDavid Sussillo, Omri Barak
Neural Computation|August 16, 2006
Recognition by variance: learning rules for spatiotemporal patternsOmri Barak, Misha Tsodyks
Current Opinion in Neurobiology|April 9, 2014
Working models of working memoryOmri Barak, Misha Tsodyks
Physical Review Letters|July 12, 2017
Local Dynamics in Trained Recurrent Neural NetworksAlexander Rivkind, Omri Barak
Current Opinion in Neurobiology|April 12, 2023
Mathematical models of learning and what can be learned from themOmri Barak, Misha Tsodyks
Current Opinion in Neurobiology|November 8, 2025
Corrigendum to "Mathematical models of learning and what can be learned from them" [Curr Opin Neurobiol 80 (2023)]Omri Barak, Misha Tsodyks
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|March 29, 2017
Dynamical Timescale Explains Marginal Stability in Excitability DynamicsTie Xu, Omri Barak
Pageof 4