Overview
- Presents the Principles of Neural Information Processing
- Scientific as well as educational style
- Begins with the foundations to recent scientific developments in Neural Information Processing
- Includes supplementary material: sn.pub/extras
Part of the book series: Cognitive Systems Monographs (COSMOS, volume 27)
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Table of contents (1 chapter)
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Front Matter
Keywords
About this book
In this fundamental book the authors devise a framework that describes the working of the brain as a whole. It presents a comprehensive introduction to the principles of Neural Information Processing as well as recent and authoritative research. The books´ guiding principles are the main purpose of neural activity, namely, to organize behavior to ensure survival, as well as the understanding of the evolutionary genesis of the brain. Among the developed principles and strategies belong self-organization of neural systems, flexibility, the active interpretation of the world by means of construction and prediction as well as their embedding into the world, all of which form the framework of the presented description. Since, in brains, their partial self-organization, the lifelong adaptation and their use of various methods of processing incoming information are all interconnected, the authors have chosen not only neurobiology and evolution theory as a basis for the elaboration of sucha framework but also systems and signal theory.
The most important message of the book and authors is: brains are evolved as a whole and a description of parts although necessary lets one miss the wood for the trees.
Authors and Affiliations
Bibliographic Information
Book Title: Principles of Neural Information Processing
Authors: Werner v. Seelen, Konstantin Behrend
Series Title: Cognitive Systems Monographs
DOI: https://doi.org/10.1007/978-3-319-20113-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-20112-2Published: 09 July 2015
Softcover ISBN: 978-3-319-36934-1Published: 15 October 2016
eBook ISBN: 978-3-319-20113-9Published: 30 June 2015
Series ISSN: 1867-4925
Series E-ISSN: 1867-4933
Edition Number: 1
Number of Pages: VIII, 102
Number of Illustrations: 5 b/w illustrations
Topics: Computational Intelligence, Artificial Intelligence, Neurosciences