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

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 XXV International Conference on Neuroinformatics, held on October 23-27, 2023, 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 XXV International Conference on Neuroinformatics, held on October 23-27, 2023, in Moscow, Russia.

Autor*in

Boris Kryzhanovsky

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

Recurrent Neural Networks Reinforcement Learning Applications EEG Pattern Analysis Deep Learning Models Convolutional Neural Network Architectures Neural Networks Applications in Bioimaging Image Segmentation with Machine Learning Modeling Neural Activity Spiking Dynamical Systems Neuromorphic Systems Neurocognitive Processing Neural Network Control Systems Neuroinformatics 2023

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