神经形态工程学
光遗传学
光子上转换
材料科学
光电子学
光电流
纳米技术
神经科学
计算机科学
人工神经网络
人工智能
生物
发光
作者
Yongbiao Zhai,Ye Zhou,Xueqing Yang,Feng Wang,Wenbin Ye,Xiaojian Zhu,Donghong She,Wei Lü,Su‐Ting Han
出处
期刊:Nano Energy
[Elsevier BV]
日期:2019-11-05
卷期号:67: 104262-104262
被引量:67
标识
DOI:10.1016/j.nanoen.2019.104262
摘要
Near infrared (NIR) synaptic devices offer a remote-control approach to implement neuromorphic computing for data safety and artificial retinal system applications. In upconverting nanoparticles (UCNPs)-mediated optogenetics biosystems, NIR regulation of membrane ion channels allows remote and selective control of the Ca2+ flux to modulate synaptic plasticity behaviors. Inspired by the upconversion optogenetics, we proposed a NIR artificial synapse based on a UCNPs-MoS2 floating gate phototransistor in which MoS2 acts as light-sensitive ion channels to reabsorb the visible light emitted from UCNPs under NIR illumination. As a result, the synaptic device exhibits stable persistent photocurrent (PPC) effect up to 353 K and ultrahigh photogain (~108 electrons per photon), ensuring the long-term potentiation (LTP) behavior. Simulations using the handwritten digit data sets indicate good recognition accuracy of the light-controlled artificial neuron network. Overall, this design concept combining biology, optics and electronics opens up a new avenue for developing optogenetics-inspired neuromorphic technology in the future.
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