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Book synopsis

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.

Book details

Book category Books in German Naturwissenschaften, Medizin, Informatik, Technik Technik Maschinenbau, Fertigungstechnik

• Full title: Neuromorphic Intelligence
• Author: Shuangming Yang
• Language: English
• Binding: Paperback
• Number of pages: 260
• EAN: 9783031578755
• ISBN: 3031578759
• ID: 48869905
• Publisher: Springer Nature Switzerland
• Weight: 442 g
• Dimensions: 240 × 168 × 15 mm
• Date of publishing: 16. May 2025

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