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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Vydané v:	Frontiers in computational neuroscience Ročník 15; s. 627567
Hlavní autori:	Cachi, Paolo G., Ventura, Sebastián, Cios, Krzysztof J.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland Frontiers Research Foundation 22.04.2021 Frontiers Media S.A
Predmet:	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
On-line prístup:	Získať plný text
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