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Bryan Tripp

Showing results (1-10 of 14) with videos related to

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Neural Computation|July 2, 2019
Approximating the Architecture of Visual Cortex in a Convolutional NetworkBryan Tripp
Neuroimage|January 3, 2018
A deeper understanding of the brainBryan Tripp
Neural Networks : the Official Journal of the International Neural Network Society|March 11, 2016
Function approximation in inhibitory networksBryan Tripp, Chris Eliasmith
Cerebral Cortex (New York, N.Y. : 1991)|October 18, 2006
Neural populations can induce reliable postsynaptic currents without observable spike rate changes or precise spike timingBryan Tripp, Chris Eliasmith
Neural Networks : the Official Journal of the International Neural Network Society|April 8, 2017
Extending the Stabilized Supralinear Network model for binocular image processingBen Selby, Bryan Tripp
Neural Networks : the Official Journal of the International Neural Network Society|January 1, 2017
An empirical model of activity in macaque inferior temporal cortexSalman Khan, Bryan Tripp
Neural Networks : the Official Journal of the International Neural Network Society|September 22, 2019
How are response properties in the middle temporal area related to inference on visual motion patterns?Omid Rezai, Lucas Stoffl, Bryan Tripp
Neural Computation|December 5, 2023
Modeling the Role of Contour Integration in Visual InferenceSalman Khan, Alexander Wong, Bryan Tripp
Frontiers in Computational Neuroscience|March 15, 2016
Obtaining Arbitrary Prescribed Mean Field Dynamics for Recurrently Coupled Networks of Type-I Spiking Neurons with Analytically Determined WeightsWilten Nicola, Bryan Tripp, Matthew Scott
Neural Networks : the Official Journal of the International Neural Network Society|October 13, 2018
A video-driven model of response statistics in the primate middle temporal areaOmid Rezai, Pinar Boyraz Jentsch, Bryan Tripp
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Neural Computation|July 2, 2019
Approximating the Architecture of Visual Cortex in a Convolutional NetworkBryan Tripp
Neuroimage|January 3, 2018
A deeper understanding of the brainBryan Tripp
Neural Networks : the Official Journal of the International Neural Network Society|March 11, 2016
Function approximation in inhibitory networksBryan Tripp, Chris Eliasmith
Cerebral Cortex (New York, N.Y. : 1991)|October 18, 2006
Neural populations can induce reliable postsynaptic currents without observable spike rate changes or precise spike timingBryan Tripp, Chris Eliasmith
Neural Networks : the Official Journal of the International Neural Network Society|April 8, 2017
Extending the Stabilized Supralinear Network model for binocular image processingBen Selby, Bryan Tripp
Neural Networks : the Official Journal of the International Neural Network Society|January 1, 2017
An empirical model of activity in macaque inferior temporal cortexSalman Khan, Bryan Tripp
Neural Networks : the Official Journal of the International Neural Network Society|September 22, 2019
How are response properties in the middle temporal area related to inference on visual motion patterns?Omid Rezai, Lucas Stoffl, Bryan Tripp
Neural Computation|December 5, 2023
Modeling the Role of Contour Integration in Visual InferenceSalman Khan, Alexander Wong, Bryan Tripp
Frontiers in Computational Neuroscience|March 15, 2016
Obtaining Arbitrary Prescribed Mean Field Dynamics for Recurrently Coupled Networks of Type-I Spiking Neurons with Analytically Determined WeightsWilten Nicola, Bryan Tripp, Matthew Scott
Neural Networks : the Official Journal of the International Neural Network Society|October 13, 2018
A video-driven model of response statistics in the primate middle temporal areaOmid Rezai, Pinar Boyraz Jentsch, Bryan Tripp
Pageof 2