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Computational Neuroscience: Ein erster Kurs von Hanspeter A. Mallot (englisch) Pape-
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eBay-Artikelnr.:364702660655
Artikelmerkmale
- Artikelzustand
- ISBN-13
- 9783319033068
- Book Title
- Computational Neuroscience
- ISBN
- 9783319033068
- Subject Area
- Technology & Engineering, Science, Medical
- Publication Name
- Computational Neuroscience : a First Course
- Publisher
- Springer International Publishing A&G
- Item Length
- 9.3 in
- Subject
- Engineering (General), Neuroscience, Life Sciences / Neuroscience
- Publication Year
- 2015
- Series
- Springer Series in Bio-/Neuroinformatics Ser.
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Weight
- 16 Oz
- Item Width
- 6.1 in
- Number of Pages
- Xi, 135 Pages
Über dieses Produkt
Product Identifiers
Publisher
Springer International Publishing A&G
ISBN-10
3319033069
ISBN-13
9783319033068
eBay Product ID (ePID)
212881736
Product Key Features
Number of Pages
Xi, 135 Pages
Publication Name
Computational Neuroscience : a First Course
Language
English
Subject
Engineering (General), Neuroscience, Life Sciences / Neuroscience
Publication Year
2015
Type
Textbook
Subject Area
Technology & Engineering, Science, Medical
Series
Springer Series in Bio-/Neuroinformatics Ser.
Format
Trade Paperback
Dimensions
Item Weight
16 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
Reviews
"A useful guide for any neuroscientist desiring to incorporate computational methods into their research. The book covers three fundamental areas of computational neuroscience: membrane physics, systems theory, and artificial neural networks. ... At the end each chapter, suggested reading materials are listed to help guide the reader to supporting resources which will fill in background material and\or extend the topic presented." (Stanley R. Huddy, Mathematical Reviews, May, 2015) "This book focuses on basic mathematical modeling approaches and computational methods in neuroscience, and it is a significant presentation of some basic aspects of computational neuroscience. ... I recommend it for students and researchers in neuroscience who are interested in mathematical modeling and computational methods." (Jin Liang, zbMATH 1317.92001, 2015) "This is a good text discussing the mathematic neuromodeling introducing differential calculus inc. differential and partial differentional equations as they apply to temporal- spatial dynamics of the neural code. I recommend this book for all audiences with an interest in neuroscience." (Joseph J. Grenier, Amazon.com, August, 2014), From the book reviews: "This is a good text discussing the mathematic neuromodeling introducing differential calculus inc. differential and partial differentional equations as they apply to temporal- spatial dynamics of the neural code. I recommend this book for all audiences with an interest in neuroscience." (Joseph J. Grenier, Amazon.com, August, 2014)
Dewey Edition
23
Series Volume Number
2
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
612.8
Table Of Content
Excitable Membranes and Neural Conduction.- Receptive Fields and the Specificity of Neuronal Firing.- Coding and Representation.- Fourier Analysis for Neuroscientists.- Artificial Neural Networks.
Synopsis
Computational Neuroscience - A First Course provides an essential introduction to computational neuroscience and equips readers with a fundamental understanding of modeling the nervous system at the membrane, cellular, and network level. The book, which grew out of a lecture series held regularly for more than ten years to graduate students in neuroscience with backgrounds in biology, psychology and medicine, takes its readers on a journey through three fundamental domains of computational neuroscience: membrane biophysics, systems theory and artificial neural networks. The required mathematical concepts are kept as intuitive and simple as possible throughout the book, making it fully accessible to readers who are less familiar with mathematics. Overall, Computational Neuroscience - A First Course represents an essential reference guide for all neuroscientists who use computational methods in their daily work, as well as for any theoretical scientist approaching the field of computational neuroscience., This introduction to computational neuroscience equips readers with a solid understanding of techniques for modeling the nervous system at the membrane, cellular and network level. Covers membrane biophysics, systems theory and artificial neural networks., Excitable Membranes and Neural Conduction.- Receptive Fields and the Specificity of Neuronal Firing.- Coding and Representation.- Fourier Analysis for Neuroscientists.- Artificial Neural Networks.
LC Classification Number
Q342
Artikelbeschreibung des Verkäufers
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