000753682 000__ 03117cam\a2200505Ii\4500 000753682 001__ 753682 000753682 005__ 20230306141514.0 000753682 006__ m\\\\\o\\d\\\\\\\\ 000753682 007__ cr\cn\nnnunnun 000753682 008__ 160205t20162016sz\a\\\\ob\\\\001\0\eng\d 000753682 019__ $$a937455155 000753682 020__ $$a9783319269115$$q(electronic book) 000753682 020__ $$a3319269119$$q(electronic book) 000753682 020__ $$z9783319269092 000753682 020__ $$z3319269097 000753682 0247_ $$a10.1007/978-3-319-26911-5$$2doi 000753682 035__ $$aSP(OCoLC)ocn936691512 000753682 035__ $$aSP(OCoLC)936691512$$z(OCoLC)937455155 000753682 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dN$T$$dIDEBK$$dEBLCP$$dYDXCP$$dGW5XE$$dAZU$$dOCLCF$$dDEBSZ$$dCOO 000753682 049__ $$aISEA 000753682 050_4 $$aQP363 000753682 08204 $$a612.81046$$223 000753682 1001_ $$aGreenwood, P. E.,$$d1937-$$eauthor. 000753682 24510 $$aStochastic neuron models$$h[electronic resource] /$$cPriscilla E. Greenwood, Lawrence M. Ward. 000753682 264_1 $$aCham :$$bSpringer,$$c[2016] 000753682 264_4 $$c©2016 000753682 300__ $$a1 online resource :$$bcolor illustrations. 000753682 336__ $$atext$$btxt$$2rdacontent 000753682 337__ $$acomputer$$bc$$2rdamedia 000753682 338__ $$aonline resource$$bcr$$2rdacarrier 000753682 4901_ $$aMathematical Biosciences Institute lecture series. Stochastics in biological systems ;$$v1.5 000753682 504__ $$aIncludes bibliographical references and index. 000753682 5050_ $$aSingle Neuron Models -- Population and Subpopulation Models -- Spatially Structured Neural Systems -- The Bigger Picture. 000753682 506__ $$aAccess limited to authorized users. 000753682 520__ $$aThis book describes a large number of open problems in the theory of stochastic neural systems, with the aim of enticing probabilists to work on them. This includes problems arising from stochastic models of individual neurons as well as those arising from stochastic models of the activities of small and large networks of interconnected neurons. The necessary neuroscience background to these problems is outlined within the text, so readers can grasp the context in which they arise. This book will be useful for graduate students and instructors providing material and references for applying probability to stochastic neuron modeling. Methods and results are presented, but the emphasis is on questions where additional stochastic analysis may contribute neuroscience insight. An extensive bibliography is included. Dr. Priscilla E. Greenwood is a Professor Emerita in the Department of Mathematics at the University of British Columbia. Dr. Lawrence M. Ward is a Professor in the Department of Psychology and the Brain Research Centre at the University of British Columbia. 000753682 588__ $$aOnline resource; title from PDF title page (viewed February 11, 2016). 000753682 650_0 $$aNeurons. 000753682 650_0 $$aStochastic processes. 000753682 7001_ $$aWard, Lawrence M.,$$eauthor. 000753682 77608 $$iPrint version:$$z3319269097$$z9783319269092$$w(OCoLC)925497780 000753682 830_0 $$aMathematical Biosciences Institute lecture series.$$pStochastics in biological systems ;$$v1.5. 000753682 852__ $$bebk 000753682 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-26911-5$$zOnline Access$$91397441.1 000753682 909CO $$ooai:library.usi.edu:753682$$pGLOBAL_SET 000753682 980__ $$aEBOOK 000753682 980__ $$aBIB 000753682 982__ $$aEbook 000753682 983__ $$aOnline 000753682 994__ $$a92$$bISE