Two Population Neural Field Model With Gaussian External Input

Javed, Sana

dc.contributor.author	Javed, Sana
dc.date.accessioned	2019-12-26T10:52:13Z
dc.date.available	2019-12-26T10:52:13Z
dc.date.issued	2019-12-19
dc.identifier.uri	http://dspace.cuilahore.edu.pk/xmlui/handle/123456789/1605
dc.description.abstract	In this,wehaveexploredGaussianspatio-temporalexternalinputonper- sistentactivitystates.Theaimofworkwastobuildupanumericalscheme of actionfortwopopulationmodelwithGaussianexternalinput.Webreakup the externalinputinto3partsi.e.,amplitude,thespatialpartandthetem- poralpart.Intemporalpart,weuseGaussiantypeexternalinput.Wehave explored theboundedness,uniquenessforthepresentchoiceofwork.Wecheck the emergencethenweexaminethestationarysolutioncalled”bumps”.This modelisthecontinuationofPatricketal[37] byextendingthespatio-temporal Gaussian typeexternalinput.Wehavecheckthoroughlythebroadbumpso- lution. Wealsochecktheactivitywillconverge,whenthebroadbumpisless than tcr. Thepresentchoiceof H(x; t) producebetterresultascompareto Yousafetal. 2	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Mathematics, COMSATS University Islamabad, Lahore campus	en_US
dc.subject	Two Population Neural Field Model With Gaussian External Input	en_US
dc.title	Two Population Neural Field Model With Gaussian External Input	en_US
dc.type	Thesis	en_US