Neuronal Dynamics - From Single Neurons to Networks and Models of Cognition (Paperback)

What happens in our brain when we make a decision? What triggers a neuron to send out a signal? What is the neural code? This textbook for advanced undergraduate and beginning graduate students provides a thorough and up-to-date introduction to the fields of computational and theoretical neuroscience. It covers classical topics, including the Hodgkin-Huxley equations and Hopfield model, as well as modern developments in the field such as Generalized Linear Models and decision theory. Concepts are introduced using clear step-by-step explanations suitable for readers with only a basic knowledge of differential equations and probabilities, and are richly illustrated by figures and worked-out examples. End-of-chapter summaries and classroom-tested exercises make the book ideal for courses or for self-study. The authors also give pointers to the literature and an extensive bibliography, which will prove invaluable to readers interested in further study.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	July 2014
Authors:	Wulfram Gerstner • Werner M. Kistler • Richard Naud • Liam Paninski
Dimensions:	246 x 174 x 26mm (L x W x T)
Format:	Paperback - Trade
Pages:	578
ISBN-13:	978-1-107-63519-7
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	1-107-63519-5
Barcode:	9781107635197

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