Advances in Neural Computation, Machine Learning, and Cognitive Research VII
Selected Papers from the XXV International Conference on Neuroinformatics, October 23-27, 2023, 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 XXV International Conference on Neuroinformatics, held on October 23-27, 2023, in Moscow, Russia.
| ISBN: | 9783031448676 |
|---|---|
| Sprache: | Englisch |
| Seitenzahl: | 501 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Dunin-Barkowski, Witali Klimov, Valentin Kryzhanovsky, Boris Redko, Vladimir Tiumentsev, Yury |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 12.10.2024 |
| Untertitel: | Selected Papers from the XXV International Conference on Neuroinformatics, October 23-27, 2023, Moscow, Russia |
| Schlagworte: | Convolutional Neural Network Architectures Deep Learning Models EEG Pattern Analysis Image Segmentation with Machine Learning Modeling Neural Activity Neural Networks Applications in Bioimaging Neuromorphic Systems Recurrent Neural Networks Reinforcement Learning Applications Spiking Dynamical Systems |
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