Advances in Neural Computation, Machine Learning, and Cognitive Research IV : Selected Papers from the XXII International Conference on Neuroinformatics, October 12-16, 2020, Moscow, Russia / / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev

• Autore: Kryzhanovsky Boris
• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
• Edizione: 1st ed. 2021.
• Descrizione fisica: 1 online resource (XVI, 441 p. 169 illus., 101 illus. in color.)
• Disciplina: 006.32
• Soggetto topico: Computational intelligence; Machine learning; Control engineering; Bionics; Computational Intelligence; Machine Learning; Control and Systems Theory; Bioinspired Technologies
• Sommario/riassunto: 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 XXII International Conference on Neuroinformatics, held on October 12-16, 2020, Moscow, Russia. .
• Titolo autorizzato: Advances in neural computation, machine learning, and cognitive research IV
• ISBN: 3-030-60577-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910483669703321
• Lo trovi qui: Univ. Federico II
• Serie: Studies in Computational Intelligence, . 1860-9503 ; ; 925