Advances in Neural Computation, Machine Learning, and Cognitive Research III : Selected Papers from the XXI International Conference on Neuroinformatics, October 7-11, 2019, Dolgoprudny, Moscow Region, Russia /

This book describes new theories and applications of artificial neural networks, with a special focus on answering questions 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:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:	1st ed. 2020.
Series:	Studies in Computational Intelligence, 856
Subjects:	Computational intelligence. Optical data processing. Robotics. Automation. Artificial intelligence. Bioinformatics. Computational Intelligence. Image Processing and Computer Vision. Robotics and Automation. Artificial Intelligence. Computational Biology/Bioinformatics. Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	This book describes new theories and applications of artificial neural networks, with a special focus on answering questions 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 XXI International Conference on Neuroinformatics, held on October 7-11, 2019, in Dolgoprudny, a town in Moscow region, Russia.
Physical Description:	1 online resource (XVII, 428 pages 210 illustrations, 120 illustrations in color.)
ISBN:	9783030304256
ISSN:	1860-9503 ;
DOI:	10.1007/978-3-030-30425-6