Prikladnaya Diskretnaya Matematika. Supplement
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Prikladnaya Diskretnaya Matematika. Supplement, 2015, Issue 8, Pages 151–154
DOI: https://doi.org/10.17223/2226308X/8/59 (Mi pdma247) 		 
This article is cited in 6 scientific papers (total in 6 papers)

Computational methods in discrete mathematics

Implementation of a neural WTA-network on the memristor crossbar

M. S. Tarkov

Rzhanov Institute of Semiconductor Physics, Siberian Branch of Russian Academy of Sciences, Novosibirsk
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DOI: https://doi.org/10.17223/2226308X/8/59
Abstract: An algorithm for mapping the weighting coefficients matrix of a neural WTA (“Winner Takes All”) network onto a memristor crossbar is proposed. The neural WTA network built on the basis of the memristor crossbar is simulated using the LTSPICE program. The simulation results can be used both in mathematical modelling and in the physical implementation of the neural networks with the memristor interconnections.
Keywords: memristor, memristance, crossbar, neural network, weighting coefficients matrix, WTA.
Document Type: Article
UDC: 621.396+621.372
Language: Russian
Citation: M. S. Tarkov, “Implementation of a neural WTA-network on the memristor crossbar”, Prikl. Diskr. Mat. Suppl., 2015, no. 8, 151–154
Citation in format AMSBIB
\Bibitem{Tar15}
\by M.~S.~Tarkov
\paper Implementation of a~neural WTA-network on the memristor crossbar
\jour Prikl. Diskr. Mat. Suppl.
\yr 2015
\issue 8
\pages 151--154
\mathnet{http://mi.mathnet.ru/pdma247}
\crossref{https://doi.org/10.17223/2226308X/8/59}
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    • This publication is cited in the following 6 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    		Prikladnaya Diskretnaya Matematika. Supplement
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