Advances in Neural Computation, Machine Learning, and Cognitive Research VIII Selected Papers from the XXVI International Conference on Neuroinformatics, October 21-25, 2024, 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 XXVI International Conference on Neuroinformatics, held on October 21-25, 2024, in Moscow, Russia.

Dettagli sul prodotto

• Con la collaborazione di: Dmitry Yudin (Editore), Yury Tiumentsev (Editore), Witali Dunin-Barkowski et al (Editore), Boris Kryzhanovsky (Editore), Witali Dunin-Barkowski (Editore), Vladimir Redko (Editore)
• Editore: Springer, Berlin
• Contenuto: Libro
• Forma del prodotto: Copertina rigida
• Data pubblicazione: 24.03.2025
• Categoria: Scienze naturali, medicina, informatica, tecnica > Tecnica > Tematiche generali, enciclopedie
• EAN: 9783031804625
• ISBN: 978-3-0-3180462-5
• Numero di pagine: 533
• Illustrazioni: XX, 533 p. 203 illus., 120 illus. in color.
• Dimensioni (della confezione): 15.5 x 3.3 x 23.5 cm
• Peso (della confezione): 936 g
• Serie: Studies in Computational Intelligence
• Categorie: machine learning, Maschinelles Lernen, Mathematische Modellierung, Computational Intelligence, autonomous agents, recurrent neural networks, deep learning models, Machine Learning Applications in Biology, Multilayer Neural Networks, Spiking Neural Networks, EEG-patterns, Metagraph Embedding, Neural Network Control Systems, Model-based Reinforcement Learning, Adaptive Behavior, Neurocognitive Processing, Mechanisms of Natural Neural Systems