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Neuromorphic Intelligence by Shuangming Yang, Badong Chen - 9783031578724

£36.55

Neuromorphic IntelligenceLearning, Architectures and Large-Scale Systems\nAuthor(s): Shuangming Yang, Badong Chen\nFormat: Hardback\nPublisher: Springer International Publishing AG, Switzerland\nImprint: Springer International Publishing AG\nISBN-13: 9783031578724, 978-3031578724\nSynopsis\nThis 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.

Neuromorphic Intelligence by Shuangming Yang, Badong Chen - 9783031578724

Neuromorphic IntelligenceLearning, Architectures and Large-Scale Systems\nAuthor(s): Shuangming Yang, Badong Chen\nFormat: Hardback\nPublisher: Springer International Publishing AG, Switzerland\nImprint: Springer International Publishing AG\nISBN-13: 9783031578724, 978-3031578724\nSynopsis\nThis 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.

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