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دسته بندی:
شبکه های نورونی - neuron-networks
سال انتشار:
2020
عنوان انگلیسی مقاله:
Near infrared neuromorphic computing via upconversion-mediated optogenetics
ترجمه فارسی عنوان مقاله:
محاسبات نورومورفیک مادون قرمز نزدیک اپتوژنتیک با واسطه upconversion
منبع:
Sciencedirect - Elsevier - Nano Energy, 67 (2020) 104262. doi:10.1016/j.nanoen.2019.104262
نویسنده:
Yongbiao Zhai a, Ye Zhou b, Xueqing Yang c, Feng Wang c,**, Wenbin Ye a, Xiaojian Zhu d, Donghong She a, Wei D. Lu d,***, Su-Ting Han a,d,
چکیده انگلیسی:
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 Ca2þ
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.
Keywords: Optogenetics | Optoelectronics | Neuromorphic computing | Near-infrared light | Long-term potentiation
قیمت: رایگان
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