Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Hanle Zheng"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Processing spatiotemporal data sources with both high spatial dimension and rich temporal information is a ubiquitous need in machine intelligence. Recurrent neural networks in the machine learning domain and bio-inspired spiking neural netw
Externí odkaz:
https://doaj.org/article/74179e5e820f407c9a457a951cfd838f
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-20 (2024)
Abstract It is widely believed the brain-inspired spiking neural networks have the capability of processing temporal information owing to their dynamic attributes. However, how to understand what kind of mechanisms contributing to the learning abilit
Externí odkaz:
https://doaj.org/article/8787b242aeae434db6470bf5683476dd
Autor:
Huifeng Yin, Hanle Zheng, Jiayi Mao, Siyuan Ding, Xing Liu, Mingkun Xu, Yifan Hu, Jing Pei, Lei Deng
Publikováno v:
Neuromorphic Computing and Engineering, Vol 4, Iss 3, p 034009 (2024)
Spiking neural networks (SNNs), inspired by the neural circuits of the brain, are promising in achieving high computational efficiency with biological fidelity. Nevertheless, it is quite difficult to optimize SNNs because the functional roles of thei
Externí odkaz:
https://doaj.org/article/eedc1f0716694835b37bb95be39befa8