Advances in Neural Computation, Machine Learning, and Cognitive Research VIII
Selected Papers from the XXVI International Conference on Neuroinformatics, October 21-25, 2024, Moscow, 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 XXVI International Conference on Neuroinformatics, held on October 21–25, 2024, in Moscow, Russia.
| ISBN: | 9783031804625 |
|---|---|
| Sprache: | Englisch |
| Seitenzahl: | 533 |
| Produktart: | Gebunden |
| Herausgeber: | Dunin-Barkowski, Witali Kryzhanovsky, Boris Redko, Vladimir Tiumentsev, Yury Yudin, Dmitry |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 23.02.2025 |
| Untertitel: | Selected Papers from the XXVI International Conference on Neuroinformatics, October 21-25, 2024, Moscow, Russia |
| Schlagworte: | Autonomous Agents Deep Learning Models EEG-patterns Machine Learning Applications in Biology Mechanisms of Natural Neural Systems Model-based Reinforcement Learning Neural Network Control Systems Neurocognitive Processing Recurrent Neural Networks Spiking Neural Networks |
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