Stochastic Neuron Models (Paperback, 1st ed. 2016)

This 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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Mathematical Biosciences Institute Lecture Series, 1.5
Release date:	February 2016
First published:	2016
Authors:	Priscilla E. Greenwood • Lawrence M Ward
Dimensions:	235 x 155 x 6mm (L x W x T)
Format:	Paperback
Pages:	75
Edition:	1st ed. 2016
ISBN-13:	978-3-319-26909-2
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences Promotions
LSN:	3-319-26909-7
Barcode:	9783319269092

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