The Computational Brain 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


The Computational Brain

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Patricia Churchland 作者
The MIT Press
譯者
1992-6-12 出版日期
560 頁數
USD 87.50 價格
Hardcover
叢書系列
9780262031882 圖書編碼

The Computational Brain 在線電子書 圖書標籤: 神經網絡  心靈哲學  Science  Brain  視覺皮層  大腦  哲學  of   


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發表於2024-11-07

The Computational Brain 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

The Computational Brain 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

The Computational Brain 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



The Computational Brain 在線電子書 用戶評價

評分

讀瞭17年的再版 跳過瞭後麵plasticity & sensory-motor integration的內容 churchland & sejnowski仍是one of the first conceptual and technical books in computational neuroscience 但這本書更像是一本完整的研究綜述 其實如果要是淺嘗輒止 這本書未免深入 但要是專心進入一個領域 那還不如經典papers一路讀下來

評分

讀瞭17年的再版 跳過瞭後麵plasticity & sensory-motor integration的內容 churchland & sejnowski仍是one of the first conceptual and technical books in computational neuroscience 但這本書更像是一本完整的研究綜述 其實如果要是淺嘗輒止 這本書未免深入 但要是專心進入一個領域 那還不如經典papers一路讀下來

評分

讀瞭17年的再版 跳過瞭後麵plasticity & sensory-motor integration的內容 churchland & sejnowski仍是one of the first conceptual and technical books in computational neuroscience 但這本書更像是一本完整的研究綜述 其實如果要是淺嘗輒止 這本書未免深入 但要是專心進入一個領域 那還不如經典papers一路讀下來

評分

讀瞭17年的再版 跳過瞭後麵plasticity & sensory-motor integration的內容 churchland & sejnowski仍是one of the first conceptual and technical books in computational neuroscience 但這本書更像是一本完整的研究綜述 其實如果要是淺嘗輒止 這本書未免深入 但要是專心進入一個領域 那還不如經典papers一路讀下來

評分

讀瞭17年的再版 跳過瞭後麵plasticity & sensory-motor integration的內容 churchland & sejnowski仍是one of the first conceptual and technical books in computational neuroscience 但這本書更像是一本完整的研究綜述 其實如果要是淺嘗輒止 這本書未免深入 但要是專心進入一個領域 那還不如經典papers一路讀下來

The Computational Brain 在線電子書 著者簡介


The Computational Brain 在線電子書 著者簡介


The Computational Brain 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

The Computational Brain 在線電子書 圖書描述

How do groups of neurons interact to enable the organism to see, decide, and move appropriately? What are the principles whereby networks of neurons represent and compute? These are the central questions probed by The Computational Brain. Churchland and Sejnowski address the foundational ideas of the emerging field of computational neuroscience, examine a diverse range of neural network models, and consider future directions of the field. The Computational Brain is the first unified and broadly accessible book to bring together computational concepts and behavioral data within a neurobiological framework.Computer models constrained by neurobiological data can help reveal how -networks of neurons subserve perception and behavior - bow their physical interactions can yield global results in perception and behavior, and how their physical properties are used to code information and compute solutions. The Computational Brain focuses mainly on three domains: visual perception, learning and memory, and sensorimotor integration. Examples of recent computer models in these domains are discussed in detail, highlighting strengths and weaknesses, and extracting principles applicable to other domains. Churchland and Sejnowski show how both abstract models and neurobiologically realistic models can have useful roles in computational neuroscience, and they predict the coevolution of models and experiments at many levels of organization, from the neuron to the system.The Computational Brain addresses a broad audience: neuroscientists, computer scientists, cognitive scientists, and philosophers. It is written for both the expert and novice. A basic overview of neuroscience and computational theory is provided, followed by a study of some of the most recent and sophisticated modeling work in the context of relevant neurobiological research. Technical terms are clearly explained in the text, and definitions are provided in an extensive glossary. The appendix contains a precis of neurobiological techniques.Patricia S. Churchland is Professor of Philosophy at the University of California, San Diego, Adjunct Professor at the Salk Institute, and a MacArthur Fellow. Terrence J. Sejnowski is Professor of Biology at the University of California, San Diego, Professor at the Salk Institute, where he is Director of the Computational Neurobiology Laboratory, and an Investigator of the Howard Hughes Medical Institute.

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