Coincidence Detection Using Spiking Neurons with Application to Face Recognition

Volume: 2015, Issue: 2015, Pages: 534198
Published: Oct 4, 2015
Abstract
We elucidate the practical implementation of Spiking Neural Network (SNN) as local ensembles of classifiers. Synaptic time constant null null null null null null null null null is used as learning parameter in representing the variations learned from a set of training data at classifier level. This classifier uses coincidence detection (CD) strategy trained in supervised manner using a novel supervised learning method called null null null null...
Paper Details
Title
Coincidence Detection Using Spiking Neurons with Application to Face Recognition
Published Date
Oct 4, 2015
Volume
2015
Issue
2015
Pages
534198
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