Kryzhanovsky / Dunin-Barkowski / Redko 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
Erscheinungsjahr 2025
ISBN: 978-3-032-07690-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 691 Seiten

Reihe: Intelligent Technologies and Robotics

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.

Zielgruppe

Research

Autoren/Hrsg.

Kryzhanovsky, Boris

Dunin-Barkowski, Witali

Redko, Vladimir

Tiumentsev, Yury

Klimov, Valentin V.

Inhaltsverzeichnis

.- 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.