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Könyv Statistical Field Theory for Neural Networks Moritz Helias

Statistical Field Theory for Neural Networks

Szerző: Moritz Helias, David Dahmen
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Springer Nature Switzerland AG
Elérhetőség: Beszállítói készleten
Küldés 8-11 napon belül
29 602 Ft
This book presents a self-contained introduction to techniques from field theory applied to stochast...

Információk a könyvről

Szerző
Moritz Helias, David Dahmen
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2020
oldal
203
EAN
9783030464431
Enbook ID
28322308
Kiadó
Springer Nature Switzerland AG
Súly
358
Méretek
234 x 156 x 23

Teljes leírás

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.

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