Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2036)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
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Table of contents (40 chapters)
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Towards Novel Neuroscience-Inspired Computing
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Modular Organisation and Robustness
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Timing and Synchronisation
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Emergent Neural Computational Architectures Based on Neuroscience
Book Subtitle: Towards Neuroscience-Inspired Computing
Editors: Stefan Wermter, Jim Austin, David Willshaw
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/3-540-44597-8
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2001
Softcover ISBN: 978-3-540-42363-8Published: 25 July 2001
eBook ISBN: 978-3-540-44597-5Published: 15 May 2003
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 582
Topics: Artificial Intelligence, Computation by Abstract Devices, Algorithm Analysis and Problem Complexity, Pattern Recognition, Neurology, Neurosciences