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Advances in Neural Computation, Machine Learning, and Cognitive Research II: Selected Papers from the XX International Conference on Neuroinformatics, … Softcover reprint of the original 1st ed. 2019 Edition
Author(s): Boris Kryzhanovsky (Editor), Witali Dunin-Barkowski (Editor), Vladimir Redko (Editor), Yury Tiumentsev (Editor)
- Publisher: Springer
- Publication Date: 10 Dec. 2019
- Edition: Softcover reprint of the original 1st ed. 2019
- Language: English
- Print length: 361 pages
- ISBN-10: 303013170X
- ISBN-13: 9783030131708
Book Description
This book describes new theories and applications of artificial neural networks, with a special focus on addressing problems in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain–computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XX International Conference on Neuroinformatics, held in Moscow, Russia on October 8–12, 2018.
Editorial Reviews
From the Back Cover
This book describes new theories and applications of artificial neural networks, with a special focus on addressing problems in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain–computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XX International Conference on Neuroinformatics, held in Moscow, Russia on October 8–12, 2018.
