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100   $a20160202d2016      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aStochastic Neuron Models /$fby Priscilla E. Greenwood, Lawrence M. Ward
205   $a1st ed. 2016.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016.
215   $a1 online resource (82 p.)
225 1 $aStochastics in Biological Systems,$x2364-2297 ;$v1.5
300   $aDescription based upon print version of record.
311   $a3-319-26909-7 
320   $aIncludes bibliographical references and index.
327   $aIntroduction -- Single Neuron Models -- Population and Subpopulation Models -- Spatially-structured Neural Systems -- The Bigger Picture.
330   $aThis book describes a large number of open problems in the theory of stochastic neural systems, with the aim of enticing probabilists to work on them. This includes problems arising from stochastic models of individual neurons as well as those arising from stochastic models of the activities of small and large networks of interconnected neurons. The necessary neuroscience background to these problems is outlined within the text, so readers can grasp the context in which they arise. This book will be useful for graduate students and instructors providing material and references for applying probability to stochastic neuron modeling. Methods and results are presented, but the emphasis is on questions where additional stochastic analysis may contribute neuroscience insight. An extensive bibliography is included. Dr. Priscilla E. Greenwood is a Professor Emerita in the Department of Mathematics at the University of British Columbia. Dr. Lawrence M. Ward is a Professor in the Department of Psychology and the Brain Research Centre at the University of British Columbia.
410  0$aStochastics in Biological Systems,$x2364-2297 ;$v1.5
606   $aBiomathematics
606   $aProbabilities
606   $aNeurosciences
606   $aStatistics 
606   $aPhysiological, Cellular and Medical Topics$3https://scigraph.springernature.com/ontologies/product-market-codes/M31020
606   $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004
606   $aNeurosciences$3https://scigraph.springernature.com/ontologies/product-market-codes/B18006
606   $aStatistics for Life Sciences, Medicine, Health Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17030
615  0$aBiomathematics.
615  0$aProbabilities.
615  0$aNeurosciences.
615  0$aStatistics .
615 14$aPhysiological, Cellular and Medical Topics.
615 24$aProbability Theory and Stochastic Processes.
615 24$aNeurosciences.
615 24$aStatistics for Life Sciences, Medicine, Health Sciences.
676   $a573.8536
700   $aGreenwood$b Priscilla E$4aut$4http://id.loc.gov/vocabulary/relators/aut$0253222
702   $aWard$b Lawrence M$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910254089203321
996   $aStochastic Neuron Models$92004683
997   $aUNINA