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Carte Statistical Field Theory for Neural Networks Moritz Helias

Statistical Field Theory for Neural Networks

Autor: Moritz Helias, David Dahmen
Limbă: engleză
Legare: Carte broșată
Editura: Springer Nature Switzerland AG
Disponibilitate: În depozitul extern
Expediem în 8-11 zile
414.15 lei
This book presents a self-contained introduction to techniques from field theory applied to stochast...

Informații despre carte

Autor
Moritz Helias, David Dahmen
Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2020
Pagini
203
EAN
9783030464431
Enbook ID
28322308
Editura
Springer Nature Switzerland AG
Greutate
358
Dimensiuni
234 x 156 x 23

Descriere completă

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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