Advances in Neural Computation, Machine Learning, and Cognitive Research IX (eBook, PDF)
Selected Papers from the XXVII International Conference on Neuroinformatics, October 20-24, 2025, Moscow, Russia Redaktion: Kryzhanovsky, Boris; Klimov, Valentin V.; Tiumentsev, Yury; Redko, Vladimir; Dunin-Barkowski, Witali
Advances in Neural Computation, Machine Learning, and Cognitive Research IX (eBook, PDF)
Selected Papers from the XXVII International Conference on Neuroinformatics, October 20-24, 2025, Moscow, Russia Redaktion: Kryzhanovsky, Boris; Klimov, Valentin V.; Tiumentsev, Yury; Redko, Vladimir; Dunin-Barkowski, Witali
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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 XXVII International Conference on Neuroinformatics, held on October 20-24, 2025, in Moscow, Russia.…mehr
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 XXVII International Conference on Neuroinformatics, held on October 20-24, 2025, in Moscow, Russia.
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Inhaltsangabe
.- Signal Processing by a Reservoir Network on Memristors.- Spiffy: Efficient Implementation of CoLaNET for Raspberry Pi.- Analysis of Variational Quantum Classifiers for Binary Classification using Quantum Simulators, etc.
.- Signal Processing by a Reservoir Network on Memristors.- Spiffy: Efficient Implementation of CoLaNET for Raspberry Pi.- Analysis of Variational Quantum Classifiers for Binary Classification using Quantum Simulators, etc.
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