Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Zhaokun Jing"'
Autor:
Rui Yuan, Qingxi Duan, Pek Jun Tiw, Ge Li, Zhuojian Xiao, Zhaokun Jing, Ke Yang, Chang Liu, Chen Ge, Ru Huang, Yuchao Yang
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
A highly efficient hardware element capable of sensing and encoding multiple physical signals is still lacking. Here, the authors report a spike-based neuromorphic perception system consisting of tunable and highly uniform artificial sensory neurons
Externí odkaz:
https://doaj.org/article/6350822bf8e04a95b54a65f6548d9036
Autor:
Fangxu Yang, Lingjie Sun, Qingxi Duan, Huanli Dong, Zhaokun Jing, Yuchao Yang, Rongjin Li, Xiaotao Zhang, Wenping Hu, Leon Chua
Publikováno v:
SmartMat, Vol 2, Iss 1, Pp 99-108 (2021)
Abstract Memristors proposed by Leon Chua provide a new type of memory device for novel neuromorphic computing applications. However, the approaching of distinct multi‐intermediate states for tunable switching dynamics, the controlling of conductin
Externí odkaz:
https://doaj.org/article/02ddb3f1e96f443cbea460405466d6de
Autor:
Qingxi Duan, Zhaokun Jing, Xiaolong Zou, Yanghao Wang, Ke Yang, Teng Zhang, Si Wu, Ru Huang, Yuchao Yang
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
Designing energy efficient and scalable artificial networks for neuromorphic computing remains a challenge. Here, the authors demonstrate online learning in a monolithically integrated 4 × 4 fully memristive neural network consisting of volatile NbO
Externí odkaz:
https://doaj.org/article/500aa3c61def49a49934f77da350f567
Autor:
Zhaokun Jing, Yuchao Yang
Publikováno v:
Small Science, Vol 1, Iss 3, Pp n/a-n/a (2021)
Exploiting the intrinsic nonlinearity in physical reservoirs, e.g., dopant‐atom networks, provides a new approach toward highly efficient computing such as feature projection and classification. In a recent study by Chen et al., the computational c
Externí odkaz:
https://doaj.org/article/e7e3a8c2cd4d417ca65f3d4557a50539
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 69:4028-4041
Autor:
Xiaotao Zhang, Rongjin Li, Yuchao Yang, Fangxu Yang, Lingjie Sun, Qingxi Duan, Zhaokun Jing, Leon O. Chua, Huanli Dong, Wenping Hu
Publikováno v:
SmartMat, Vol 2, Iss 1, Pp 99-108 (2021)
Memristors proposed by Leon Chua provide a new type of memory device for novel neuromorphic computing applications. However, the approaching of distinct multi‐intermediate states for tunable switching dynamics, the controlling of conducting filamen
Publikováno v:
2022 6th IEEE Electron Devices Technology & Manufacturing Conference (EDTM).
Publikováno v:
2021 5th IEEE Electron Devices Technology & Manufacturing Conference (EDTM).
Neuromorphic computing holds great potential for future artificial general intelligence, which requires device elements that can mimic the functionalities of biological units. Here, an ion gated synaptic transistor based on Mos2is demonstrated, which
Autor:
Qingxi Duan, Zhaokun Jing, Ru Huang, Rui Yuan, Keqin Liu, Yuchao Yang, Liying Xu, Teng Zhang, Yingming Lu, Caidie Cheng, Ke Yang
Publikováno v:
2020 China Semiconductor Technology International Conference (CSTIC).
In this paper, we present the multi-level cell characteristics of TaO x based memristive devices as synaptic elements for neuromorphic computing. We utilized various programming conditions to modulate the conductance states with different set/reset v
Publikováno v:
2019 IEEE International Workshop on Future Computing (IWOFC.
Here we report threshold switching characteristics in niobium oxide films, which is in turn used to build an oscillation neuron. In particular, we show that strong correlation exists between the oxygen flow ratio during NbOx film deposition and the e