Global behavior of homogeneous random neural systems

Gelenbe, E; Stafylopatis, A

dc.contributor.author	Gelenbe, E	en
dc.contributor.author	Stafylopatis, A	en
dc.date.accessioned	2014-03-01T01:08:22Z
dc.date.available	2014-03-01T01:08:22Z
dc.date.issued	1991	en
dc.identifier.issn	0307-904X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/10446
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0026243013&partnerID=40&md5=7d18d736eb9f97bf88d0c9c799783ffe	en
dc.subject	behavior	en
dc.subject	homogeneous	en
dc.subject	neural networks	en
dc.subject	random networks	en
dc.subject.classification	Engineering, Multidisciplinary	en
dc.subject.classification	Mathematics, Interdisciplinary Applications	en
dc.subject.classification	Mechanics	en
dc.subject.other	Probability	en
dc.subject.other	Homogeneous Random Neural Systems	en
dc.subject.other	Input Cell Model	en
dc.subject.other	Markovian Process	en
dc.subject.other	Random Networks	en
dc.subject.other	Neural Networks	en
dc.title	Global behavior of homogeneous random neural systems	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	1991	en
heal.abstract	We define a simple form of homogeneous neural network model whose characteristics are expressed in terms of probabilistic assumptions. The networks considered operate in an asynchronous manner and receive the influence of the environment in the form of external stimulations. The operation of the network is described by means of a Markovian process whose steady-statesolution yields several global measures of the network's activity. Three different types of external stimulations are investigated, which represent possible input mechanisms. The analytical results obtained concern the macroscopic viewpoint and provide a quick insight into the structure of the network's behavior. © 1991.	en
heal.publisher	BUTTERWORTH-HEINEMANN	en
heal.journalName	Applied Mathematical Modelling	en
dc.identifier.isi	ISI:A1991GL01600004	en
dc.identifier.volume	15	en
dc.identifier.issue	10	en
dc.identifier.spage	534	en
dc.identifier.epage	541	en