Advances in Neural Computation, Machine Learning, and Cognitive Research III
Selected Papers from the XXI International Conference on Neuroinformatics, October 7-11, 2019, Dolgoprudny, Moscow Region, Russia
Buch in deiner Nähe kaufen
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 XXI International Conference on Neuroinformatics, held on October 7-11, 2019, in Dolgoprudny, a town in Moscow region, 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 XXI International Conference on Neuroinformatics, held on October 7-11, 2019, in Dolgoprudny, a town in Moscow region, Russia.
Reports on advanced theories and applications of artificial neural networks Focuses on problems in neuroscience, systems biophysics, cognitive research and adaptive control Merges topics in neurobiology, machine learning and evolutionary programming
Autor*in
Boris Kryzhanovsky
Themen in »Advances in Neural Computation, Machine Learning, and Cognitive Research III«
3D Object Reconstruction Application of Tensor Train Neural Networks Control and Monitoring of Operator Performance Recurrent Analysis of EEG Patterns Fatigue Control Models Attention Recognition Algorithms for Eye Detection Autonomous Agent in Economy Analysis of Avoidance Behavior Grasping Control Neural Networks for Video Surveillance System Convolutional Recurrent Spiking Neural Networks Deep Learning for Image Recognition Facial Expression Recognition Automated Species Identification