Near infrared neuromorphic computing via upconversion-mediated optogenetics

Yongbiao Zhai, Ye Zhou, Xueqing Yang, Feng Wang*, Wenbin Ye, Xiaojian Zhu, Donghong She, Wei D. Lu*, Su-Ting Han*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

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.
Original languageEnglish
Article number104262
JournalNano Energy
Volume67
Online published6 Nov 2019
DOIs
Publication statusPublished - Jan 2020

Research Keywords

  • Long-term potentiation
  • Near-infrared light
  • Neuromorphic computing
  • Optoelectronics
  • Optogenetics

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