Emergent Neural Computational Architectures Based on Neuroscience
Towards Neuroscience-Inspired Computing (Lecture Notes in Computer Science)
1 edition
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Author
Contributions
- Stefan Wermter (Editor) - Contributor
- Jim Austin (Editor) - Contributor
- David Willshaw (Editor) - Contributor
Publication
2001-08-24 - Springer
Language
English
Word Count
144,250 words, Guess
Page Count
577 pages
Physical Format
Paperback
Identifiers
- Open LibraryOL12774871M
- Internet Archiveemergentneuralco00werm
- Internet Archiveemergentneuralco0000unse
- ISBN-10354042363X
- ISBN-139783540423638
and 4 more
- LibraryThing8798411
- Library of Congress Control Number2001038412
- OCLC Control Number47255278
- Better World Books9783540423638
Classifications
- LCCQA76.9.A73 E57 2001
- LCCQA75.5-76.95
- LCCQA 76.9 A73 E57 2001
Description
It is generally understood that the present approachs to computing do not have the performance, flexibility, and reliability of biological information processing systems. Although there is a comprehensive body of knowledge regarding how information processing occurs in the brain and central nervous system this has had little impact on mainstream computing so far. This book presents a broad spectrum of current research into biologically inspired computational systems and thus contributes towards developing new computational approaches based on neuroscience. The 39 revised full papers by leading researchers were carefully selected and reviewed for inclusion in this anthology. Besides an introductory overview by the volume editors, the book offers topical parts on modular organization and robustness, timing and synchronization, and learning and memory storage.
Subjects
Topics
Other Editions
- Emergent Neural Computational Architectures Based on Neuroscience: Towards Neuroscience-Inspired Computing (Lecture Notes in Computer Science)
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