CRBA: A Competitive Rate-Based Algorithm Based on Competitive Spiking Neural Networks

In this paper we present a Competitive Rate-Based Algorithm (CRBA) that approximates operation of a Competitive Spiking Neural Network (CSNN). CRBA is based on modeling of the competition between neurons during a sample presentation, which can be reduced to ranking of the neurons based on a dot prod...

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Veröffentlicht in:	Frontiers in computational neuroscience Jg. 15; S. 627567
Hauptverfasser:	Cachi, Paolo G., Ventura, Sebastián, Cios, Krzysztof J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland Frontiers Research Foundation 22.04.2021 Frontiers Media S.A
Schlagworte:	Algorithms Back propagation Competition competitive learning competitive spiking neural networks Computers Fashion models Firing pattern Learning MNIST Neural networks Neurons Neuroscience rate-based algorithm unsupervised image classification MNIST competitive learning competitive spiking neural networks rate-based algorithm unsupervised image classification
ISSN:	1662-5188, 1662-5188
Online-Zugang:	Volltext
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