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Contact-electrification-activated artificial afferents at femtojoule energy.
Yu, Jinran; Gao, Guoyun; Huang, Jinrong; Yang, Xixi; Han, Jing; Zhang, Huai; Chen, Youhui; Zhao, Chunlin; Sun, Qijun; Wang, Zhong Lin.
Afiliación
  • Yu J; Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, China.
  • Gao G; School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, China.
  • Huang J; Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, China.
  • Yang X; School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, China.
  • Han J; Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, China.
  • Zhang H; School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, China.
  • Chen Y; Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, China.
  • Zhao C; School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, China.
  • Sun Q; Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, China.
  • Wang ZL; School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, China.
Nat Commun ; 12(1): 1581, 2021 03 11.
Article en En | MEDLINE | ID: mdl-33707420
Low power electronics endowed with artificial intelligence and biological afferent characters are beneficial to neuromorphic sensory network. Highly distributed synaptic sensory neurons are more readily driven by portable, distributed, and ubiquitous power sources. Here, we report a contact-electrification-activated artificial afferent at femtojoule energy. Upon the contact-electrification effect, the induced triboelectric signals activate the ion-gel-gated MoS2 postsynaptic transistor, endowing the artificial afferent with the adaptive capacity to carry out spatiotemporal recognition/sensation on external stimuli (e.g., displacements, pressures and touch patterns). The decay time of the synaptic device is in the range of sensory memory stage. The energy dissipation of the artificial afferents is significantly reduced to 11.9 fJ per spike. Furthermore, the artificial afferents are demonstrated to be capable of recognizing the spatiotemporal information of touch patterns. This work is of great significance for the construction of next-generation neuromorphic sensory network, self-powered biomimetic electronics and intelligent interactive equipment.

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2021 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2021 Tipo del documento: Article País de afiliación: China