Advances in Neural Computation, Machine Learning, and Cognitive Research IX : Selected Papers from the XXVII International Conference on Neuroinformatics, October 20-24, 2025, Moscow, Russia / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev, Valentin V. Klimov.

Format:

Book

Author/Creator:

Kryzhanovsky, Boris.

Contributor:

Dunin-Barkowski, Witali.

Redko, Vladimir.

Tiumentsev, Yury.

Klimov, Valentin V.

Series:

Studies in Computational Intelligence, 1860-9503 ; 1241

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 (1008 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2026.

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

Contents:

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-032-07690-0

9783032076908

OCLC:

1547907088