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Jeffrey L McKinstry

Showing results (1-10 of 9) with videos related to

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Frontiers in Neurorobotics|June 14, 2013
Temporal sequence learning in winner-take-all networks of spiking neurons demonstrated in a brain-based deviceJeffrey L McKinstry, Gerald M Edelman
Frontiers in Computational Neuroscience|March 22, 2013
Versatile networks of simulated spiking neurons displaying winner-take-all behaviorYanqing Chen, Jeffrey L McKinstry, Gerald M Edelman
Nature Communications|November 1, 2016
Spontaneous emergence of fast attractor dynamics in a model of developing primary visual cortexThomas Miconi, Jeffrey L McKinstry, Gerald M Edelman
Proceedings of the National Academy of Sciences of the United States of America|February 21, 2006
A cerebellar model for predictive motor control tested in a brain-based deviceJeffrey L McKinstry, Gerald M Edelman, Jeffrey L Krichmar
Cerebral Cortex (New York, N.Y. : 1991)|May 15, 2004
Visual binding through reentrant connectivity and dynamic synchronization in a brain-based deviceAnil K Seth, Jeffrey L McKinstry, Gerald M Edelman, et al.
Neural Networks : the Official Journal of the International Neural Network Society|May 23, 2008
Embodied models of delayed neural responses: spatiotemporal categorization and predictive motor control in brain based devicesJeffrey L McKinstry, Anil K Seth, Gerald M Edelman, et al.
Plos One|September 23, 2016
Imagery May Arise from Associations Formed through Sensory Experience: A Network of Spiking Neurons Controlling a Robot Learns Visual Sequences in Order to Perform a Mental Rotation TaskJeffrey L McKinstry, Jason G Fleischer, Yanqing Chen, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 22, 2016
Convolutional networks for fast, energy-efficient neuromorphic computingSteven K Esser, Paul A Merolla, John V Arthur, et al.
Science (New York, N.Y.)|October 19, 2023
Neural inference at the frontier of energy, space, and timeDharmendra S Modha, Filipp Akopyan, Alexander Andreopoulos, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Frontiers in Neurorobotics|June 14, 2013
Temporal sequence learning in winner-take-all networks of spiking neurons demonstrated in a brain-based deviceJeffrey L McKinstry, Gerald M Edelman
Frontiers in Computational Neuroscience|March 22, 2013
Versatile networks of simulated spiking neurons displaying winner-take-all behaviorYanqing Chen, Jeffrey L McKinstry, Gerald M Edelman
Nature Communications|November 1, 2016
Spontaneous emergence of fast attractor dynamics in a model of developing primary visual cortexThomas Miconi, Jeffrey L McKinstry, Gerald M Edelman
Proceedings of the National Academy of Sciences of the United States of America|February 21, 2006
A cerebellar model for predictive motor control tested in a brain-based deviceJeffrey L McKinstry, Gerald M Edelman, Jeffrey L Krichmar
Cerebral Cortex (New York, N.Y. : 1991)|May 15, 2004
Visual binding through reentrant connectivity and dynamic synchronization in a brain-based deviceAnil K Seth, Jeffrey L McKinstry, Gerald M Edelman, et al.
Neural Networks : the Official Journal of the International Neural Network Society|May 23, 2008
Embodied models of delayed neural responses: spatiotemporal categorization and predictive motor control in brain based devicesJeffrey L McKinstry, Anil K Seth, Gerald M Edelman, et al.
Plos One|September 23, 2016
Imagery May Arise from Associations Formed through Sensory Experience: A Network of Spiking Neurons Controlling a Robot Learns Visual Sequences in Order to Perform a Mental Rotation TaskJeffrey L McKinstry, Jason G Fleischer, Yanqing Chen, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 22, 2016
Convolutional networks for fast, energy-efficient neuromorphic computingSteven K Esser, Paul A Merolla, John V Arthur, et al.
Science (New York, N.Y.)|October 19, 2023
Neural inference at the frontier of energy, space, and timeDharmendra S Modha, Filipp Akopyan, Alexander Andreopoulos, et al.
Pageof 1