书目名称 | Emergent Neural Computational Architectures Based on Neuroscience |
副标题 | Towards Neuroscience |
编辑 | Stefan Wermter,Jim Austin,David Willshaw |
视频video | |
概述 | Includes supplementary material: |
丛书名称 | Lecture Notes in Computer Science |
图书封面 |  |
描述 | 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. |
出版日期 | Book 2001 |
关键词 | Nervous System; algorithms; autonomous robot; biologically inspired; classification; cognition; complexity |
版次 | 1 |
doi | https://doi.org/10.1007/3-540-44597-8 |
isbn_softcover | 978-3-540-42363-8 |
isbn_ebook | 978-3-540-44597-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
issn_series | 0302-9743 |
copyright | Springer-Verlag Berlin Heidelberg 2001 |