Advances in Neural Computation, Machine Learning, and Cognitive Research VIII : Selected Papers from the XXVI International Conference on Neuroinformatics, October 21-25, 2024, Moscow, Russia / edited by Vladimir Redko, Dmitry Yudin, Witali Dunin-Barkowski, Boris Kryzhanovsky, Yury Tiumentsev.

Format:

Book

Author/Creator:

Redko, Vladimir.

Contributor:

Yudin, Dmitry.

Dunin-Barkowski, Witali.

Kryzhanovsky, Boris.

Tiumentsev, Yury.

Series:

Studies in Computational Intelligence, 1860-9503 ; 1179

Language:

English

Subjects (All):

Computational intelligence.

Machine learning.

Neural networks (Computer science).

Computational Intelligence.

Machine Learning.

Mathematical Models of Cognitive Processes and Neural Networks.

Local Subjects:

Computational Intelligence.

Machine Learning.

Mathematical Models of Cognitive Processes and Neural Networks.

Physical Description:

1 online resource (764 pages)

Edition:

1st ed. 2025.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2025.

Summary:

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 XXVI International Conference on Neuroinformatics, held on October 21–25, 2024, in Moscow, Russia.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Redko, Vladimir Advances in Neural Computation, Machine Learning, and Cognitive Research VIII

ISBN:

9783031804632

OCLC:

1505735217