Your browser doesn't support javascript.
loading
Synaptic transistor with multiple biological functions based on metal-organic frameworks combined with the LIF model of a spiking neural network to recognize temporal information.
Wang, Qinan; Zhao, Chun; Sun, Yi; Xu, Rongxuan; Li, Chenran; Wang, Chengbo; Liu, Wen; Gu, Jiangmin; Shi, Yingli; Yang, Li; Tu, Xin; Gao, Hao; Wen, Zhen.
Afiliação
  • Wang Q; School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, 215123 P.R. China.
  • Zhao C; Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ UK.
  • Sun Y; School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, 215123 P.R. China.
  • Xu R; School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, 215123 P.R. China.
  • Li C; Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ UK.
  • Wang C; School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, 215123 P.R. China.
  • Liu W; Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ UK.
  • Gu J; School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, 215123 P.R. China.
  • Shi Y; Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ UK.
  • Yang L; School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, 215123 P.R. China.
  • Tu X; Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, L69 3GJ UK.
  • Gao H; School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, 215123 P.R. China.
  • Wen Z; School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, 215123 P.R. China.
Microsyst Nanoeng ; 9: 96, 2023.
Article em En | MEDLINE | ID: mdl-37484501

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article