Emotional Cognitive Neural Algorithms with Engineering Applications

Emotional Cognitive Neural Algorithms with Engineering Applications
Author :
Publisher : Springer Science & Business Media
Total Pages : 208
Release :
ISBN-10 : 9783642228292
ISBN-13 : 3642228291
Rating : 4/5 (92 Downloads)

Book Synopsis Emotional Cognitive Neural Algorithms with Engineering Applications by : Leonid Perlovsky

Download or read book Emotional Cognitive Neural Algorithms with Engineering Applications written by Leonid Perlovsky and published by Springer Science & Business Media. This book was released on 2011-08-20 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dynamic logic (DL) recently had a highest impact on the development in several areas of modeling and algorithm design. The book discusses classical algorithms used for 30 to 50 years (where improvements are often measured by signal-to-clutter ratio), and also new areas, which did not previously exist. These achievements were recognized by National and International awards. Emerging areas include cognitive, emotional, intelligent systems, data mining, modeling of the mind, higher cognitive functions, evolution of languages and other. Classical areas include detection, recognition, tracking, fusion, prediction, inverse scattering, and financial prediction. All these classical areas are extended to using mixture models, which previously was considered unsolvable in most cases. Recent neuroimaging experiments proved that the brain-mind actually uses DL. „Emotional Cognitive Neural Algorithms with Engineering Applications“ is written for professional scientists and engineers developing computer and information systems, for professors teaching modeling and algorithms, and for students working on Masters and Ph.D. degrees in these areas. The book will be of interest to psychologists and neuroscientists interested in mathematical models of the brain and min das well.


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