An Introduction to Natural Computation (Complex Adaptive Systems) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


An Introduction to Natural Computation (Complex Adaptive Systems)

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Dana H. Ballard 作者
The MIT Press
譯者
1999-01-30 出版日期
336 頁數
USD 40.00 價格
Paperback
叢書系列
9780262522588 圖書編碼

An Introduction to Natural Computation (Complex Adaptive Systems) 在線電子書 圖書標籤: neuroscience  英文原版  神經科學   


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An Introduction to Natural Computation (Complex Adaptive Systems) 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

An Introduction to Natural Computation (Complex Adaptive Systems) 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

An Introduction to Natural Computation (Complex Adaptive Systems) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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An Introduction to Natural Computation (Complex Adaptive Systems) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

An Introduction to Natural Computation (Complex Adaptive Systems) 在線電子書 圖書描述

It is now clear that the brain is unlikely to be understood without recourse to computational theories. The theme of An Introduction to Natural Computation is that ideas from diverse areas such as neuroscience, information theory, and optimization theory have recently been extended in ways that make them useful for describing the brains programs. This book provides a comprehensive introduction to the computational material that forms the underpinnings of the currently evolving set of brain models. It stresses the broad spectrum of learning models--ranging from neural network learning through reinforcement learning to genetic learning--and situates the various models in their appropriate neural context.To write about models of the brain before the brain is fully understood is a delicate matter. Very detailed models of the neural circuitry risk losing track of the task the brain is trying to solve. At the other extreme, models that represent cognitive constructs can be so abstract that they lose all relationship to neurobiology. An Introduction to Natural Computation takes the middle ground and stresses the computational task while staying near the neurobiology.

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