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Aggiungi al carrelloPaperback. Condizione: Brand New. 88 pages. 9.00x6.00x0.25 inches. In Stock.
Lingua: Inglese
Editore: Springer, Palgrave Macmillan, 2016
ISBN 10: 3319269097 ISBN 13: 9783319269092
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 materialand references for applying probability to stochastic neuron modeling. Methods andresults are presented, but the emphasis is on questions where additional stochasticanalysis may contributeneuroscience 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.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Stochastic Neuron Models | Priscilla E. Greenwood (u. a.) | Taschenbuch | Mathematical Biosciences Institute Lecture Series | x | Englisch | 2016 | Springer | EAN 9783319269092 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Editore: Springer International Publishing, Springer International Publishing Feb 2016, 2016
ISBN 10: 3319269097 ISBN 13: 9783319269092
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 materialand references for applying probability to stochastic neuron modeling. Methods andresults are presented, but the emphasis is on questions where additional stochasticanalysis may contributeneuroscience 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. 88 pp. Englisch.
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 58.
Lingua: Inglese
Editore: Springer International Publishing, 2016
ISBN 10: 3319269097 ISBN 13: 9783319269092
Da: moluna, Greven, Germania
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes a segment of the literature on models of neurons and neural systemsStates open problems of interest to probabilistsIncludes both temporal and spatial stochastic pattern formationJuxtaposes.
Lingua: Inglese
Editore: Springer, Palgrave Macmillan Feb 2016, 2016
ISBN 10: 3319269097 ISBN 13: 9783319269092
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 88 pp. Englisch.