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

Author: Boris Kryzhanovsky

Publisher: Springer Nature

Published: 2021-11-22

Total Pages: 365

ISBN-13: 3030915816

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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 XXIII International Conference on Neuroinformatics, held on October 18-22, 2021, Moscow, Russia.

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

Author: Boris Kryzhanovsky

Publisher: Springer Nature

Published: 2022-10-18

Total Pages: 585

ISBN-13: 3031190327

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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 XXIV International Conference on Neuroinformatics, held on October 17–21, 2022, in Moscow, Russia.

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

Author: Boris Kryzhanovsky

Publisher: Springer Nature

Published: 2023-11-12

Total Pages: 505

ISBN-13: 3031448650

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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.

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

Author: Boris Kryzhanovsky

Publisher: Springer

Published: 2018-10-06

Total Pages: 353

ISBN-13: 3030013286

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This book describes new theories and applications of artificial neural networks, with a special focus on addressing problems 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 XX International Conference on Neuroinformatics, held in Moscow, Russia on October 8–12, 2018.

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

Author: Boris Kryzhanovsky

Publisher: Springer Nature

Published: 2020-10-01

Total Pages: 441

ISBN-13: 3030605779

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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 XXII International Conference on Neuroinformatics, held on October 12-16, 2020, Moscow, Russia.

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

Author: Boris Kryzhanovsky

Publisher: Springer Nature

Published: 2019-09-03

Total Pages: 434

ISBN-13: 3030304256

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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.

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

Author: Boris Kryzhanovsky

Publisher: Springer

Published: 2017-08-28

Total Pages: 208

ISBN-13: 3319666045

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This book describes new theories and applications of artificial neural networks, with a special focus on neural computation, cognitive science and machine learning. It discusses cutting-edge research at the intersection between different fields, from topics such as cognition and behavior, motivation and emotions, to neurocomputing, deep learning, classification and clustering. Further topics include signal processing methods, robotics and neurobionics, and computer vision alike. The book includes selected papers from the XIX International Conference on Neuroinformatics, held on October 2-6, 2017, in Moscow, Russia.

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

Author: Boris Kryzhanovsky

Publisher: Springer

Published: 2018-05-12

Total Pages: 199

ISBN-13: 9783319882833

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This book describes new theories and applications of artificial neural networks, with a special focus on neural computation, cognitive science and machine learning. It discusses cutting-edge research at the intersection between different fields, from topics such as cognition and behavior, motivation and emotions, to neurocomputing, deep learning, classification and clustering. Further topics include signal processing methods, robotics and neurobionics, and computer vision alike. The book includes selected papers from the XIX International Conference on Neuroinformatics, held on October 2-6, 2017, in Moscow, Russia.

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

Author: Boris Kryzhanovsky

Publisher: Springer

Published: 2021-10-03

Total Pages: 441

ISBN-13: 9783030605797

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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 XXII International Conference on Neuroinformatics, held on October 12-16, 2020, Moscow, Russia.