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

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 XXVI International Conference on Neuroinformatics, held on October 21–25, 2024, 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 XXVI International Conference on Neuroinformatics, held on October 21–25, 2024, in Moscow, Russia.

Autor*in

Vladimir Redko

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

Recurrent Neural Networks Deep Learning Models Neural Network Control Systems Neurocognitive Processing Model-based Reinforcement Learning Spiking Neural Networks Mechanisms of Natural Neural Systems EEG-patterns Autonomous Agents Machine Learning Applications in Biology Metagraph Embedding Multilayer Neural Networks Adaptive Behavior

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