Neuromorphic Intelligence Learning, Architectures and Large-Scale Systems |
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| Author:
| Chen, Badong |
| Series title: | Synthesis Lectures on Engineering, Science, and Technology Ser. |
| ISBN: | 978-3-031-57872-4 |
| Publication Date: | May 2024 |
| Publisher: | Springer
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| Book Format: | Hardback |
| List Price: | USD $44.99 |
Book Description:
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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...
More Description
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.