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This book provides a valuable resource on the design of neuromorphic intelligence, which serves as a computational foundation for building compact and low-power brain-inspired intelligent systems. The book introduces novel spiking neural network learning algorithms, including spike-based learning based on the multi-compartment model and spike-based learning with information theory. These offer important insights and academic value for readers to grasp the latest advances in neural-inspired learning. Additionally, the book presents insights and approaches to the design of scalable neuromorphic architectures, which are crucial foundations for achieving highly cognitive and energy-efficient computing systems. Furthermore, the book introduces representative large-scale neuromorphic systems and reviews several recently implemented large-scale digital neuromorphic systems by the authors, providing corresponding application scenarios.
Produkteigenschaften
- Artikelnummer: 9783031578724
- Medium: Buch
- ISBN: 978-3-031-57872-4
- Verlag: Springer Nature Switzerland
- Erscheinungstermin: 15.05.2024
- Sprache(n): Englisch
- Auflage: 2024
- Serie: Synthesis Lectures on Engineering, Science, and Technology
- Produktform: Gebunden
- Gewicht: 670 g
- Seiten: 239
- Format (B x H x T): 173 x 246 x 19 mm
- Ausgabetyp: Kein, Unbekannt