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

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, braincomputer 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 2024, 2025, in Moscow, Russia.

Reports on advanced theories and applications of artificial neural networks Focuses on problems in neuroscience, systems biophysics, cognitive research, and adaptive control Merges topics in neurobiology, machine learning, and evolutionary programming

Inhalt

.- 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.