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,...
Other Authors: | , , , |
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Format: | eBook |
Language: | English |
Published: |
Cham
Springer International Publishing
2022, 2022
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Edition: | 1st ed. 2022 |
Series: | Studies in Computational Intelligence
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
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 |
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Physical Description: | XV, 360 p. 145 illus., 70 illus. in color online resource |
ISBN: | 9783030915810 |