Statistical Field Theory for Neural Networks

Language: English

Published by Springer International Publishing Aug 2020, 2020

3030464431 / 9783030464431

Series: Book 195 of 241 - Lecture Notes in Physics

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a self-contained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal networks. These powerful analytical techniques, which are well established in other fields of physics, are the basis of current developments and offer solutions to pressing open problems in theoretical neuroscience and also machine learning. They enable a systematic and quantitative understanding of the dynamics in recurrent and stochastic neuronal networks. This book is intended for physicists, mathematicians, and computer scientists and it is designed for self-study by researchers who want to enter the field or as the main text for a one semester course at advanced undergraduate or graduate level. The theoretical concepts presented in this book are systematically developed from the very beginning, which only requires basic knowledge of analysis and linear algebra. 224 pp. Englisch.

Seller Inventory # 9783030464431

Title
Statistical Field Theory for Neural Networks
Author
David Dahmen
Publisher
Springer International Publishing Aug 2020
Publication year
2020
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3030464431
ISBN 13
9783030464431
Item weight
347 grams
Dimensions
235x155x13 mm
Series
Book 195 of 241: Lecture Notes in Physics

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

Shipping rates from Germany to U.S.A.

Item5 to 15 business days5 to 15 business days
First itemUS$ 26.37US$ 26.37
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BuchWeltWeit Ludwig Meier e.K.

Germany