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Chen / Yang

Neuromorphic Intelligence

Learning, Architectures and Large-Scale Systems

Medium: Buch
ISBN: 978-3-031-57875-5
Verlag: Springer Nature Switzerland
Erscheinungstermin: 16.05.2025
Lieferfrist: bis zu 10 Tage

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: 9783031578755
  • Medium: Buch
  • ISBN: 978-3-031-57875-5
  • Verlag: Springer Nature Switzerland
  • Erscheinungstermin: 16.05.2025
  • Sprache(n): Englisch
  • Auflage: Erscheinungsjahr 2025
  • Serie: Synthesis Lectures on Engineering, Science, and Technology
  • Produktform: Kartoniert
  • Gewicht: 442 g
  • Seiten: 239
  • Format (B x H x T): 168 x 240 x 15 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Autoren

Introduction.- Introduction for Neuromorphic Intelligence.- Spike-based Learning with Multi-compartment Model.- Spike-based Learning with Information Theory.- Scalable Architectures on Neuromorphic Systems.- Large-scale Digital Neuromorphic Systems.- Conclusion.