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Artificial Funnel Nanochannel Device Emulates Synaptic Behavior.
Li, Peiyue; Liu, Junjie; Yuan, Jun-Hui; Guo, Yechang; Wang, Shaofeng; Zhang, Pan; Wang, Wei.
Afiliação
  • Li P; School of Integrated Circuits, Peking University, Beijing 100871, People's Republic of China.
  • Liu J; College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, People's Republic of China.
  • Yuan JH; School of Science, Wuhan University of Technology, Wuhan 430070, People's Republic of China.
  • Guo Y; School of Integrated Circuits, Peking University, Beijing 100871, People's Republic of China.
  • Wang S; School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, People's Republic of China.
  • Zhang P; School of Integrated Circuits, Peking University, Beijing 100871, People's Republic of China.
  • Wang W; National Key Laboratory of Advanced Micro and Nano Manufacture Technology, Beijing 100871, People's Republic of China.
Nano Lett ; 24(20): 6192-6200, 2024 May 22.
Article em En | MEDLINE | ID: mdl-38666542
ABSTRACT
Creating artificial synapses that can interact with biological neural systems is critical for developing advanced intelligent systems. However, there are still many difficulties, including device morphology and fluid selection. Based on Micro-Electro-Mechanical System technologies, we utilized two immiscible electrolytes to form a liquid/liquid interface at the tip of a funnel nanochannel, effectively enabling a wafer-level fabrication, interactions between multiple information carriers, and electron-to-chemical signal transitions. The distinctive ionic transport properties successfully achieved a hysteresis in ionic transport, resulting in adjustable multistage conductance gradient and synaptic functions. Notably, the device is similar to biological systems in terms of structure and signal carriers, especially for the low operating voltage (200 mV), which matches the biological neural potential (∼110 mV). This work lays the foundation for realizing the function of iontronics neuromorphic computing at ultralow operating voltages and in-memory computing, which can break the limits of information barriers for brain-machine interfaces.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sinapses / Nanotecnologia Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sinapses / Nanotecnologia Idioma: En Ano de publicação: 2024 Tipo de documento: Article