Advances in Neural Computation, Machine Learning, and Cognitive Research V Selected Papers from the XXIII International Conference on Neuroinformatics, October 18-22, 2021, 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,...

Full description

Bibliographic Details
Other Authors: Kryzhanovsky, Boris (Editor), Dunin-Barkowski, Witali (Editor), Redko, Vladimir (Editor), Tiumentsev, Yury (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2022, 2022
Edition:1st ed. 2022
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 XXIII International Conference on Neuroinformatics, held on October 18-22, 2021, Moscow, Russia
Physical Description:XV, 360 p. 145 illus., 70 illus. in color online resource
ISBN:9783030915810