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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 (Studies in Computational Intelligence, nr. 1008)

Editat de Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev, Valentin V. Klimov
Notă GoodReads:
en Limba Engleză Hardback – 23 Nov 2021
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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Specificații

ISBN-13: 9783030915803
ISBN-10: 3030915808
Ilustrații: XV, 360 p. 145 illus., 70 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.7 kg
Ediția: 1st ed. 2022
Editura: Springer
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării: Cham, Switzerland

Textul de pe ultima copertă

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.

Caracteristici

Reports on advanced theories and applications of artificial neural networks
Focuses on problems in neuroscience, systems biophysics, cognitive research and adaptive control
Merges topics in neurobiology, machine learning and evolutionary programming