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Advances in Neural Computation, Machine Learning, and Cognitive Research V: Selected Papers from the XXIII International Conference on Neuroinformatics, ... in Computational Intelligence Book 1008)

Advances in Neural Computation, Machine Learning, and Cognitive Research V: Selected Papers from the XXIII International Conference on Neuroinformatics, ... in Computational Intelligence Book 1008)

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Advances in Neural Computation, Machine Learning, and Cognitive Research V: Selected Papers from the XXIII International Conference on Neuroinformatics, ... in Computational Intelligence Book 1008)

Advances in Neural Computation, Machine Learning, and Cognitive Research V: Selected Papers from the XXIII International Conference on Neuroinformatics, ... in Computational Intelligence Book 1008)

Category

Machine Learning

Neural Networks

Author

Boris Kryzhanovsky

Witali Dunin-Barkowski

Vladimir Redko

Yury Tiumentsev

Valentin V. Klimov

Publication

Springer

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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.

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ISBN-10

ISBN-13

9783030915803

Publisher

Springer

Price

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File Type

PDF

Page No.

Boris Kryzhanovsky

Boris Kryzhanovsky

Witali Dunin-Barkowski

Witali Dunin-Barkowski

Vladimir Redko

Yury Tiumentsev

Yury Tiumentsev

Valentin V. Klimov

Valentin V. Klimov

From the Back Cover

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. --This text refers to the hardcover edition.

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