Principles of Neural Information Theory

Principles of Neural Information Theory
Author: James V Stone
Publisher:
Total Pages: 214
Release: 2018-05-15
Genre: Computers
ISBN: 9780993367922

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In this richly illustrated book, it is shown how Shannon's mathematical theory of information defines absolute limits on neural efficiency; limits which ultimately determine the neuroanatomical microstructure of the eye and brain. Written in an informal style this is an ideal introduction to cutting-edge research in neural information theory.


Principles of Neural Information Theory
Language: en
Pages: 214
Authors: James V Stone
Categories: Computers
Type: BOOK - Published: 2018-05-15 - Publisher:

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In this richly illustrated book, it is shown how Shannon's mathematical theory of information defines absolute limits on neural efficiency; limits which ultimat
Principles of Neural Design
Language: en
Pages: 567
Authors: Peter Sterling
Categories: Science
Type: BOOK - Published: 2015-05-22 - Publisher: MIT Press

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Neuroscience research has exploded, with more than fifty thousand neuroscientists applying increasingly advanced methods. A mountain of new facts and mechanisms
Principles of Neural Coding
Language: en
Pages: 625
Authors: Rodrigo Quian Quiroga
Categories: Medical
Type: BOOK - Published: 2013-05-06 - Publisher: CRC Press

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Understanding how populations of neurons encode information is the challenge faced by researchers in the field of neural coding. Focusing on the many mysteries
Principles of Neural Science
Language: en
Pages: 1135
Authors: Eric R. Kandel
Categories: Anatomy
Type: BOOK - Published: 1991 - Publisher:

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The Principles of Deep Learning Theory
Language: en
Pages: 473
Authors: Daniel A. Roberts
Categories: Computers
Type: BOOK - Published: 2022-05-26 - Publisher: Cambridge University Press

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This volume develops an effective theory approach to understanding deep neural networks of practical relevance.