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Narayan Srinivasa

Showing results (1-10 of 23) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|September 9, 2008
A head-neck-eye system that learns fault-tolerant saccades to 3-D targets using a self-organizing neural modelNarayan Srinivasa, Stephen Grossberg
Frontiers in Computational Neuroscience|March 2, 2013
Stable learning of functional maps in self-organizing spiking neural networks with continuous synaptic plasticityNarayan Srinivasa, Qin Jiang
Neural Networks : the Official Journal of the International Neural Network Society|March 29, 2003
Efficient Learning of VAM-Based Representation of 3D Targets and its Active Vision ApplicationsRajeev Sharma, Narayan Srinivasa
Frontiers in Computational Neuroscience|January 8, 2015
Unsupervised discrimination of patterns in spiking neural networks with excitatory and inhibitory synaptic plasticityNarayan Srinivasa, Youngkwan Cho
Frontiers in Neuroscience|March 20, 2018
Learning to Recognize Actions From Limited Training Examples Using a Recurrent Spiking Neural ModelPriyadarshini Panda, Narayan Srinivasa
Frontiers in Computational Neuroscience|June 27, 2013
Learning and prospective recall of noisy spike pattern episodesKarl Dockendorf, Narayan Srinivasa
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Self-organizing spiking neural model for learning fault-tolerant spatio-motor transformationsNarayan Srinivasa, Youngkwan Cho
IEEE Pulse|February 21, 2012
Neuromorphic adaptive plastic scalable electronics: analog learning systemsNarayan Srinivasa, Jose Cruz-Albrecht
Neural Computation|October 2, 2012
A spiking neural model for stable reinforcement of synapses based on multiple distal rewardsMichael J O'Brien, Narayan Srinivasa
Frontiers in Computational Neuroscience|July 13, 2013
Using a hybrid neuron in physiologically inspired models of the basal gangliaCorey M Thibeault, Narayan Srinivasa
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Neural Networks : the Official Journal of the International Neural Network Society|September 9, 2008
A head-neck-eye system that learns fault-tolerant saccades to 3-D targets using a self-organizing neural modelNarayan Srinivasa, Stephen Grossberg
Frontiers in Computational Neuroscience|March 2, 2013
Stable learning of functional maps in self-organizing spiking neural networks with continuous synaptic plasticityNarayan Srinivasa, Qin Jiang
Neural Networks : the Official Journal of the International Neural Network Society|March 29, 2003
Efficient Learning of VAM-Based Representation of 3D Targets and its Active Vision ApplicationsRajeev Sharma, Narayan Srinivasa
Frontiers in Computational Neuroscience|January 8, 2015
Unsupervised discrimination of patterns in spiking neural networks with excitatory and inhibitory synaptic plasticityNarayan Srinivasa, Youngkwan Cho
Frontiers in Neuroscience|March 20, 2018
Learning to Recognize Actions From Limited Training Examples Using a Recurrent Spiking Neural ModelPriyadarshini Panda, Narayan Srinivasa
Frontiers in Computational Neuroscience|June 27, 2013
Learning and prospective recall of noisy spike pattern episodesKarl Dockendorf, Narayan Srinivasa
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Self-organizing spiking neural model for learning fault-tolerant spatio-motor transformationsNarayan Srinivasa, Youngkwan Cho
IEEE Pulse|February 21, 2012
Neuromorphic adaptive plastic scalable electronics: analog learning systemsNarayan Srinivasa, Jose Cruz-Albrecht
Neural Computation|October 2, 2012
A spiking neural model for stable reinforcement of synapses based on multiple distal rewardsMichael J O'Brien, Narayan Srinivasa
Frontiers in Computational Neuroscience|July 13, 2013
Using a hybrid neuron in physiologically inspired models of the basal gangliaCorey M Thibeault, Narayan Srinivasa
Pageof 3