Oscillatory Neural Networks : : In Problems of Parallel Information Processing / / Margarita G. Kuzmina, Eduard A. Manykin, Evgeny S. Grichuk.
Understanding of the human brain functioning currently represents a challenging problem. In contrast to usual serial computers and complicated hierarchically organized artificial man-made systems, decentralized, parallel and distributed information processing principles are inherent to the brain. Be...
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Superior document: | Title is part of eBook package: De Gruyter DGBA Backlist Complete English Language 2000-2014 PART1 |
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Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2013] ©2014 |
Year of Publication: | 2013 |
Language: | English |
Online Access: | |
Physical Description: | 1 online resource (160 p.) |
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Table of Contents:
- Frontmatter
- Preface
- Acknowledgments
- Contents
- 1. Introduction
- 2. Neural and oscillatory networks of associative memory
- 3. Oscillatory networks for modeling the brain structures performance
- 4. Image processing based on the oscillatory network model
- 5. Parallel information processing and photon echo
- 6. Stochastic oscillators for modeling polarized light beams
- Summary and some perspectives
- Index