03276nam a22005295i 4500 978-3-031-57873-1 DE-He213 20251030112043.0 cr nn 008mamaa 240515s2024 sz | s |||| 0|eng d 9783031578731 978-3-031-57873-1 10.1007/978-3-031-57873-1 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Yang, Shuangming. author. aut http://id.loc.gov/vocabulary/relators/aut 76862 Neuromorphic Intelligence [electronic resource] : Learning, Architectures and Large-Scale Systems / by Shuangming Yang, Badong Chen. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XIX, 239 p. 131 illus., 109 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Synthesis Lectures on Engineering, Science, and Technology, 2690-0327 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. 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. Computational intelligence. 64052 Artificial intelligence. 58441 Neurosciences. 68384 Computational Intelligence. 64052 Artificial Intelligence. 58441 Neuroscience. 68386 Chen, Badong. author. aut http://id.loc.gov/vocabulary/relators/aut 76863 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031578724 Printed edition: 9783031578748 Printed edition: 9783031578755 Synthesis Lectures on Engineering, Science, and Technology, 2690-0327 https://doi.org/10.1007/978-3-031-57873-1 ZDB-2-SXSC 59875 59875