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Digital multiplierless implementation of the biological FitzHugh-Nagumo model

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dc.contributor.authorNouri, M.
dc.contributor.authorKarimi, G.
dc.contributor.authorAhmadi, A.
dc.contributor.authorAbbott, D.
dc.date.issued2015
dc.description.abstractAbstract not available
dc.description.statementofresponsibilityM. Nouri, Gh.R. Karimi, A. Ahmadi, D. Abbott
dc.identifier.citationNeurocomputing, 2015; 165:468-476
dc.identifier.doi10.1016/j.neucom.2015.03.084
dc.identifier.issn0925-2312
dc.identifier.issn1872-8286
dc.identifier.orcidAbbott, D. [0000-0002-0945-2674]
dc.identifier.urihttp://hdl.handle.net/2440/103354
dc.language.isoen
dc.publisherElsevier
dc.rights© 2015 Elsevier B.V. All rights reserved.
dc.source.urihttps://doi.org/10.1016/j.neucom.2015.03.084
dc.subjectSpiking neural network; piecewise linear model; FitzHugh-Nagumo (FHN); model; field programmable gate array (FPGA)
dc.titleDigital multiplierless implementation of the biological FitzHugh-Nagumo model
dc.typeJournal article
pubs.publication-statusPublished

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