Advances in Neural Computation, Machine Learning, and Cognitive Research VII Selected Papers from the XXV International Conference on Neuroinformatics, October 23-27, 2023, Moscow, 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
Other Authors: Kryzhanovsky, Boris (Editor), Dunin-Barkowski, Witali (Editor), Redko, Vladimir (Editor), Tiumentsev, Yury (Editor)
Format: eBook
Language:English
Published: Cham Springer Nature Switzerland 2023, 2023
Edition:1st ed. 2023
Series:Studies in Computational Intelligence
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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 XXV International Conference on Neuroinformatics, held on October 23-27, 2023, in Moscow, Russia
Physical Description:XVI, 501 p. 166 illus., 96 illus. in color online resource
ISBN:9783031448652