TY - GEN AB - 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, braincomputer 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 1721, 2022, in Moscow, Russia. AU - Kryzhanovsky, Boris, AU - Dunin-Barkowski, Witali, AU - Redko, Vladimir, AU - Tiumentsev, Yury, CN - QA76.87 DO - 10.1007/978-3-031-19032-2 DO - doi ID - 1453122 KW - Neural networks (Computer science) LK - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-19032-2 N1 - International conference proceedings. N1 - Includes author index. N2 - 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, braincomputer 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 1721, 2022, in Moscow, Russia. SN - 9783031190322 SN - 3031190327 T1 - Advances in neural computation, machine learning, and cognitive research VI :selected papers from the XXIV International Conference on Neuroinformatics, October 17-21, 2022, Moscow, Russia / TI - Advances in neural computation, machine learning, and cognitive research VI :selected papers from the XXIV International Conference on Neuroinformatics, October 17-21, 2022, Moscow, Russia / UR - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-19032-2 VL - volume 1064 ER -