Neuromorphic Intelligence
Learning, Architectures and Large-Scale Systems
Inbunden, Engelska, 2024
779 kr
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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.
Produktinformation
- Utgivningsdatum2024-05-15
- Mått168 x 240 x 19 mm
- Vikt670 g
- FormatInbunden
- SpråkEngelska
- SerieSynthesis Lectures on Engineering, Science, and Technology
- Antal sidor239
- FörlagSpringer International Publishing AG
- ISBN9783031578724