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
(Sprache: Englisch)
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...
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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.
Bibliographische Angaben
- 2021, 1st ed. 2022, XV, 360 Seiten, 70 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Gebunden, Englisch
- Herausgegeben: Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev, Valentin V. Klimov
- Verlag: Springer, Berlin
- ISBN-10: 3030915808
- ISBN-13: 9783030915803
Sprache:
Englisch
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