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Optogenetics-inspired manipulation of synaptic memory using all-optically controlled memristors.

Qihao SunZhecheng GuoXiaojian ZhuQian JiangHuiyuan LiuXuerong LiuCui SunYuejun ZhangLiu WuRun-Wei Li
Published in: Nanoscale (2023)
Memristive synapses compatible with optogenetic techniques allow for the fast and low-power manipulation of memory activities using light in artificial neural systems. However, most of the optoelectronic memristors operate in the hybrid optic-electric mode; the reversible regulation of memristive states solely using light for optogenetic emulation is difficult. In this work, an all-optical controlled optoelectronic memristor (Au/Cs 2 AgBiBr 6 /Au) is developed for mimicking optogenetics-tuned memory formation and erasing behaviors in biological synapses. We show that the memristor exhibits positive and negative persistent photoconductivity effects under different light wavelengths, attributed to light-regulated carrier de-trapping/trapping at the Au/Cs 2 AgBiBr 6 interface. This device can emulate both excitatory and inhibitory synaptic plasticity and associated learning and memory effects under light illumination. We constructed a prototype optoelectronic synaptic array and implemented the all-optically controlled memory implantation, erasing, and modification, demonstrating the light-reconfigured cognition capabilities. Our findings will inspire the development of all-optically controlled artificial neural systems with good reconfigurability for efficient neuromorphic computing and machine vision.
Keyphrases
  • working memory
  • sensitive detection
  • machine learning
  • reduced graphene oxide
  • quantum dots
  • white matter