SPATIAL ORGANIZATION OF NEURAL NETWORKS: A PROBABILISTIC MODELING APPROACH.

Stafylopatis, Andreas; Dikaiakos, Marios; Kontoravdis, Dimitris

dc.contributor.author	Stafylopatis, Andreas	en
dc.contributor.author	Dikaiakos, Marios	en
dc.contributor.author	Kontoravdis, Dimitris	en
dc.date.accessioned	2014-03-01T02:40:51Z
dc.date.available	2014-03-01T02:40:51Z
dc.date.issued	1987	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30250
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0023561113&partnerID=40&md5=a3c382346119ad3be26cb4a57221b216	en
dc.relation.uri	http://nips.djvuzone.org/djvu/nips00/0740.djvu	en
dc.relation.uri	http://www.informatik.uni-trier.de/~ley/db/conf/nips/nips1987.html#StafylopatisDK87	en
dc.subject	Probabilistic Model	en
dc.subject	Spatial Organization	en
dc.subject	Neural Network	en
dc.subject.other	COMPUTER ARCHITECTURE - Mathematical Models	en
dc.subject.other	PROBABILITY	en
dc.subject.other	NEURAL NETWORKS	en
dc.subject.other	PROBABILISTIC MODELING	en
dc.subject.other	SPATIAL ORGANIZATION	en
dc.subject.other	SYSTEMS SCIENCE AND CYBERNETICS	en
dc.title	SPATIAL ORGANIZATION OF NEURAL NETWORKS: A PROBABILISTIC MODELING APPROACH.	en
heal.type	conferenceItem	en
heal.publicationDate	1987	en
heal.abstract	Summary form only given. A probabilistic model of neural networks was developed using the theory of general product-form queuing networks. A neural network is modeled as an open network of nodes, in which customers moving from node to node represent stimulation and connections between nodes are expressed in terms of suitably selected routing probabilities. A solution of the model is obtained under different disciplines affecting the time spent by a stimulation at each node visited. Results concerning the distribution of excitation as a function of network topology are compared with measures obtained by simulating the behavior of conventional neural networks.	en
heal.publisher	IEEE, New York, NY, USA	en
heal.journalName	[No source information available]	en
dc.identifier.spage	6	en