
Advances in Neural Computation, Machine Learning, and Cognitive Research V: Selected Papers from the XXIII International Conference on … 1st ed. 2022 Edition
Author(s): Boris Kryzhanovsky (Editor), Witali Dunin-Barkowski (Editor), Vladimir Redko (Editor), Yury Tiumentsev (Editor), Valentin V. Klimov (Editor)
- Publisher: Springer
- Publication Date: 24 Nov. 2022
- Edition: 1st ed. 2022
- Language: English
- Print length: 375 pages
- ISBN-10: 3030915832
Book Description
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 XXIII International Conference on Neuroinformatics, held on October 18-22, 2021, Moscow, Russia.
Editorial Reviews
From the Back Cover
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 XXIII International Conference on Neuroinformatics, held on October 18-22, 2021, Moscow, Russia.
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