Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Hegan Chen"'
Autor:
Yang Jiang, Dingchen Wang, Ning Lin, Shuhui Shi, Yi Zhang, Shaocong Wang, Xi Chen, Hegan Chen, Yinan Lin, Kam Chi Loong, Jia Chen, Yida Li, Renrui Fang, Dashan Shang, Qing Wang, Hongyu Yu, Zhongrui Wang
Publikováno v:
Advanced Science, Vol 10, Iss 22, Pp n/a-n/a (2023)
Abstract Intrinsic plasticity of neurons, such as spontaneous threshold lowering (STL) to modulate neuronal excitability, is key to spatial attention of biological neural systems. In‐memory computing with emerging memristors is expected to solve th
Externí odkaz:
https://doaj.org/article/98ec5c6c1ff348a2b1876413dfba54ee
Autor:
Dingchen Wang, Dingyao Liu, Yinan Lin, Anran Yuan, Woyu Zhang, Yaping Zhao, Shaocong Wang, Xi Chen, Hegan Chen, Yi Zhang, Yang Jiang, Shuhui Shi, Kam Chi Loong, Jia Chen, Songrui Wei, Qing Wang, Hongyu Yu, Renjing Xu, Dashan Shang, Han Zhang, Shiming Zhang, Zhongrui Wang
Publikováno v:
InfoMat, Vol 5, Iss 4, Pp n/a-n/a (2023)
Abstract Autonomous one‐shot on‐the‐fly learning copes with the high privacy, small dataset, and in‐stream data at the edge. Implementing such learning on digital hardware suffers from the well‐known von‐Neumann and scaling bottlenecks. T
Externí odkaz:
https://doaj.org/article/0bb2979ac1694b1f9586ea53d4bc6ffb
Autor:
Shaocong Wang, Hegan Chen, Woyu Zhang, Yi Li, Dingchen Wang, Shuhui Shi, Yaping Zhao, Kam Chi Loong, Xi Chen, Yujiao Dong, Yi Zhang, Yang Jiang, Chaudhry Furqan, Jia Chen, Qing Wang, Xiaoxin Xu, Guangyi Wang, Hongyu Yu, Dashan Shang, Zhongrui Wang
Publikováno v:
Advanced Intelligent Systems, Vol 4, Iss 8, Pp n/a-n/a (2022)
The unprecedented development of Internet of Things results in the explosion of spatiotemporal signals generated by smart edge devices, leading to a surge of interest in real‐time learning of such data. This imposes a big challenge to conventional
Externí odkaz:
https://doaj.org/article/6352b066583a45d6a2b6c5c779652c41
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::832f53de302f2673769c72d18702e46a
https://doi.org/10.1109/tnnls.2023.3250655
https://doi.org/10.1109/tnnls.2023.3250655
Publikováno v:
IEEE transactions on neural networks and learning systems. 33(5)
A large number of studies have shown that astrocytes can be combined with the presynaptic terminals and postsynaptic spines of neurons to constitute a triple synapse via an endocannabinoid retrograde messenger to achieve a self-repair ability in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c67540812ff45c64ebe898fe578559e0
https://pubmed.ncbi.nlm.nih.gov/33382661
https://pubmed.ncbi.nlm.nih.gov/33382661