Advances in Neural Computation, Machine Learning, and Cognitive Research II Selected Papers from the XX International Conference on Neuroinformatics, October 8-12, 2018, Moscow, Russia /

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,...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Kryzhanovsky, Boris (Editor), Dunin-Barkowski, Witali (Editor), Redko, Vladimir (Editor), Tiumentsev, Yury (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:Studies in Computational Intelligence, 799
Subjects:
Computational intelligence.
Graph theory.
Control engineering.
Artificial intelligence.
Bioinformatics.
Computational Intelligence.
Graph Theory.
Control and Systems Theory.
Artificial Intelligence.
Computational and Systems Biology.
Online Access:Full-text access
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Description
Summary: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.
Physical Description:XVII, 344 p. 121 illus. online resource.
ISBN:9783030013288
ISSN:1860-9503 ;
DOI:10.1007/978-3-030-01328-8

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