Advances in Neural Computation, Machine Learning, and Cognitive Research IX
Springer International Publishing (Verlag)
978-3-032-07689-2 (ISBN)
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.
.- 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.
| Erscheinungsdatum | 14.10.2025 |
|---|---|
| Reihe/Serie | Studies in Computational Intelligence |
| Zusatzinfo | XVIII, 691 p. 261 illus., 152 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| Technik | |
| Schlagworte | adaptive behavior • Brain-computer interfaces • Deep learning models • Fuzzy Neural Networks • Large Language Models • Multilayer neural networks • Multimodal Data Processing • multimodal machine learning • Neural Network Control Systems • Neurocognitive Processing • Recurrent Neural Networks • spiking neural networks • Synapse Modeling • uncertainty quantification • Unsupervised Learning |
| ISBN-10 | 3-032-07689-7 / 3032076897 |
| ISBN-13 | 978-3-032-07689-2 / 9783032076892 |
| Zustand | Neuware |
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