Advances in Neural Computation, Machine Learning, and Cognitive Research IX: Selected Papers from the...

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Boris Kryzhanovsky Witali Dunin-Barkowski

Advances in Neural Computation, Machine Learning, and Cognitive Research IX

Selected Papers from the XXVII International Conference on Neuroinformatics, October 20-24,...

Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko , Yury Tiumentsev

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English

Springer Nature Switzerland AG
12 October 2025

Mathematical modelling; Machine learning

Series: Studies in Computational Intelligence

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 XXVII International Conference on Neuroinformatics, held on October 20–24, 2025, in Moscow, Russia.

Edited by: Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev, Valentin V. Klimov
Imprint: Springer Nature Switzerland AG
Country of Publication: Switzerland
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9783032076892
ISBN 10: 3032076897
Series: Studies in Computational Intelligence
Pages: 691
Publication Date: 12 October 2025
Audience: College/higher education , Professional and scholarly , Further / Higher Education , Undergraduate
Format: Hardback
Publisher's Status: Active

.- Signal Processing by a Reservoir Network on Memristors.- Spiffy: Efficient Implementation of CoLaNET for Raspberry Pi.- Analysis of Variational Quantum Classifiers for Binary Classification using Quantum Simulators, etc.