Advances in Neural Computation, Machine Learning, and Cognitive Research VI: Selected Papers from the XXIV International Conference on ... (Studies in Computational Intelligence, 1064)

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 XXIV International Conference on Neuroinformatics, held on October 17–21, 2022, in Moscow, Russia.

• | Author: Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev
• | Publisher: Springer
• | Publication Date: Oct 19, 2022
• | Number of Pages: 593 pages
• | Language: English
• | Binding: Hardcover/Technology & Engineering
• | ISBN-10: 3031190319
• | ISBN-13: 9783031190315