Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics

Advances in Cognitive Research, Artificial Intelligence and Neuroinformatics PDF

Author: Boris M. Velichkovsky

Publisher: Springer Nature

Published: 2021-04-17

Total Pages: 741

ISBN-13: 3030716376

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This book reports on theoretical and experimental research answering key questions in neuroscience, philosophy of mind, and cognitive research. It gives a special emphasis on findings achieved within the territory of the former U.S.S.R, which has remained largely unknown to an international readership. The volume gathers authoritative studies on cognitive development, consciousness, attention and perception. It covers research on eye movements, language, speech and semantics, emotion, as well as brain functional states, and a variety of decision-making processes. It also highlights important advances in cognitive robotics and artificial intelligence, discussing brain-computer interfaces and other practically-relevant technologies. It includes studies on human subjects, in both healthy and disease conditions, and investigations on the molecular mechanisms of cognition in animal models. Chapters are based on invited lectures and peer-reviewed contributions to the 9th International Conference on Cognitive Sciences, Intercognsci–2020, held on October 10-16, 2020, in Moscow. The conference was organized by the Interregional Association of Cognitive Studies, with the participation of the Pavlov Society for Neurophysiology and Higher Nervous Activity, and supported by the Russian Academy of Sciences, the Russian Foundation for Basic Research and a number of the north eastern European research institutions. All in all, this book provides cognitive scientists around the world with a timely snapshot of interdisciplinary research and cutting-edge models, and a major source of inspiration for future collaborations in the areas of artificial intelligence and cognitive neuroscience.

Advances in Neural Computation, Machine Learning, and Cognitive Research

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

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 VII

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

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 VI

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

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 IV

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

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 V

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

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 III

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

Author: Boris Kryzhanovsky

Publisher: Springer Nature

Published: 2019-09-03

Total Pages: 428

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 II

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

Author: Boris Kryzhanovsky

Publisher: Springer

Published: 2018-10-06

Total Pages: 344

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 Brain Inspired Cognitive Systems

Advances in Brain Inspired Cognitive Systems PDF

Author: Derong Liu

Publisher: Springer

Published: 2013-06-03

Total Pages: 429

ISBN-13: 3642387861

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This book constitutes the refereed proceedings of the 6th International Conference on Brain Inspired Cognitive Systems, BICS 2013, held in Beijing, China in June 2013. The 45 high-quality papers presented were carefully reviewed and selected from 68 submissions. BICS 2013 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of brain inspired cognitive systems research and applications in diverse fields.

Brain Informatics

Brain Informatics PDF

Author: Ning Zhong

Publisher: Springer

Published: 2009-10-01

Total Pages: 248

ISBN-13: 3642049540

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This volume contains the papers selected for presentation at The 2009 Inter- tional Conference on Brain Informatics (BI 2009) held at Beijing University of Technology, China, on October 22–24, 2009. It was organized by the Web Int- ligence Consortium (WIC) and IEEE Computational Intelligence Society Task Force on Brain Informatics (IEEE TF-BI). The conference was held jointly with The 2009 International Conference on Active Media Technology (AMT 2009). Brain informatics (BI) has emergedas an interdisciplinaryresearch?eld that focuses on studying the mechanisms underlying the human information proce- ing system (HIPS). It investigates the essential functions of the brain, ranging from perception to thinking, and encompassing such areas as multi-perception, attention,memory,language,computation,heuristicsearch,reasoning,planning, decision-making, problem-solving, learning, discovery, and creativity. The goal of BI is to develop and demonstrate a systematic approach to achieving an integrated understanding of both macroscopic and microscopic level working principles of the brain, by means of experimental, computational, and cognitive neuroscience studies, as well as utilizing advanced Web Intelligence (WI) centric information technologies. BI represents a potentially revolutionary shift in the way that research is undertaken. It attempts to capture new forms of c- laborative and interdisciplinary work. Following this vision, new kinds of BI methods and global research communities will emerge, through infrastructure on the wisdom Web and knowledge grids that enables high speed and d- tributed, large-scale analysis and computations, and radically new ways of sh- ing data/knowledge.