Emergent Neural Computational Architectures Based on Neuroscience - Info and Reading Options
Towards Neuroscience-Inspired Computing
By Stefan Wermter and David J. Willshaw
"Emergent Neural Computational Architectures Based on Neuroscience" was published by Springer London, Limited in 2006 - Berlin New York, it has 582 pages and the language of the book is English.
“Emergent Neural Computational Architectures Based on Neuroscience” Metadata:
- Title: ➤ Emergent Neural Computational Architectures Based on Neuroscience
- Authors: Stefan WermterDavid J. Willshaw
- Language: English
- Number of Pages: 582
- Publisher: Springer London, Limited
- Publish Date: 2006
- Publish Location: Berlin New York
“Emergent Neural Computational Architectures Based on Neuroscience” Subjects and Themes:
- Subjects: ➤ Neural networks (Computer science) - Computer architecture - Neural computers - Neural networks (computer science)
Edition Identifiers:
- The Open Library ID: OL34416906M - OL16936883W
- ISBN-13: 9783540445975
- All ISBNs: 9783540445975
AI-generated Review of “Emergent Neural Computational Architectures Based on Neuroscience”:
"Emergent Neural Computational Architectures Based on Neuroscience" Description:
Open Data:
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
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