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

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.

Table des matières

.- 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.

Résumé

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.

Détails du produit

• Collaboration: Witali Dunin-Barkowski (Editeur), Valentin V. Klimov (Editeur), Boris Kryzhanovsky (Editeur), Vladimir Redko (Editeur), Vladimir Redko et al (Editeur), Yury Tiumentsev (Editeur)
• Edition: Springer, Berlin
• Langues: Anglais
• Format d'édition: Livre Relié
• Sortie: 11.11.2025
• EAN: 9783032076892
• ISBN: 978-3-0-3207689-2
• Pages: 691
• Illustrations: XVIII, 691 p. 261 illus., 152 illus. in color.
• Thème: Studies in Computational Intelligence
• Catégories: Sciences naturelles, médecine, informatique, technique > Technique > Général, dictionnaires; machine learning, Maschinelles Lernen, Mathematische Modellierung, Unsupervised Learning, Computational Intelligence, Large Language Models, recurrent neural networks, Uncertainty Quantification, Brain-computer interfaces, deep learning models, Multilayer Neural Networks, Spiking Neural Networks, Neural Network Control Systems, Adaptive Behavior, Neurocognitive Processing, Multimodal Machine learning, Fuzzy Neural Networks, Multimodal Data Processing, Synapse Modeling