Large-time dynamics of discrete-time neural networks with McCulloch-Pitts nonlinearity

dc.contributor.authorDai, Binxiang
dc.contributor.authorHuang, Lihong
dc.contributor.authorQian, Xiangzhen
dc.date.accessioned2020-11-20T18:23:57Z
dc.date.available2020-11-20T18:23:57Z
dc.date.issued2003-04-22
dc.description.abstractWe consider a discrete-time network system of two neurons with McCulloch-Pitts nonlinearity. We show that if a parameter is sufficiently small, then network system has a stable periodic solution with minimal period 4k, and if the parameter is large enough, then the solutions of system converge to single equilibrium.
dc.description.departmentMathematics
dc.formatText
dc.format.extent8 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationDai, B., Huang, L., & Qian, X. (2003). Large-time dynamics of discrete-time neural networks with McCulloch-Pitts nonlinearity. <i>Electronic Journal of Differential Equations, 2003</i>(45), pp. 1-8.
dc.identifier.issn1072-6691
dc.identifier.urihttps://hdl.handle.net/10877/12982
dc.language.isoen
dc.publisherSouthwest Texas State University, Department of Mathematics
dc.rightsAttribution 4.0 International
dc.rights.holderThis work is licensed under a Creative Commons Attribution 4.0 International License.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceElectronic Journal of Differential Equations, 2003, San Marcos, Texas: Southwest Texas State University and University of North Texas.
dc.subjectDiscrete neural networks
dc.subjectDynamics
dc.titleLarge-time dynamics of discrete-time neural networks with McCulloch-Pitts nonlinearity
dc.typeArticle

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