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Frontiers in Neuroscience|December 10, 2015
Criticality as a Set-Point for Adaptive Behavior in Neuromorphic HardwareNarayan Srinivasa, Nigel D Stepp, Jose Cruz-AlbrechtIEEE Pulse|February 21, 2012
Neuromorphic adaptive plastic scalable electronics: analog learning systemsNarayan Srinivasa, Jose Cruz-AlbrechtNeural 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 GrossbergFrontiers in Computational Neuroscience|March 2, 2013
Stable learning of functional maps in self-organizing spiking neural networks with continuous synaptic plasticityNarayan Srinivasa, Qin JiangNeural 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 SrinivasaFrontiers in Computational Neuroscience|January 8, 2015
Unsupervised discrimination of patterns in spiking neural networks with excitatory and inhibitory synaptic plasticityNarayan Srinivasa, Youngkwan ChoFrontiers in Neuroscience|March 20, 2018
Learning to Recognize Actions From Limited Training Examples Using a Recurrent Spiking Neural ModelPriyadarshini Panda, Narayan SrinivasaFrontiers in Computational Neuroscience|June 27, 2013
Learning and prospective recall of noisy spike pattern episodesKarl Dockendorf, Narayan SrinivasaIEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Self-organizing spiking neural model for learning fault-tolerant spatio-motor transformationsNarayan Srinivasa, Youngkwan ChoNeural Computation|October 2, 2012
A spiking neural model for stable reinforcement of synapses based on multiple distal rewardsMichael J O'Brien, Narayan SrinivasaPageof 3