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

Beschreibung

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 XXVIII International Conference on Neuroinformatics, held on October 19–23, 2026, in 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 XXVIII International Conference on Neuroinformatics, held on October 19–23, 2026, in Moscow, Russia.

Autor*in

Boris Kryzhanovsky

Themen in »Advances in Neural Computation, Machine Learning, and Cognitive Research X«

Deep Learning Models Neural Network Control Systems Neurocognitive Processing Spiking Neural Networks Multimodal Data Processing Fuzzy Neural Networks Multilayer Neural Networks Synapse Modeling Unsupervised Learning Adaptive Behavior Multimodal Machine Learning Brain-computer interfaces Uncertainty Quantification Large Language Models Recurrent Neural Networks

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