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用光控忆阻器进行光遗传学启发的突触记忆操作。

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

机构信息

Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, P. R. China.

CAS Key Laboratory of Magnetic Materials and Devices, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, P. R. China.

出版信息

Nanoscale. 2023 Jun 15;15(23):10050-10056. doi: 10.1039/d3nr00900a.

Abstract

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/CsAgBiBr/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/CsAgBiBr 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.

摘要

与光遗传学技术兼容的忆阻突触允许使用光在人工神经网络中快速且低功耗地操纵记忆活动。然而,大多数光电忆阻器以混合光电模式运行;仅使用光来进行光遗传学模拟,很难对忆阻状态进行可逆调节。在这项工作中,开发了一种全光控制的光电忆阻器(Au/CsAgBiBr/Au),用于模拟生物突触中光遗传学调节的记忆形成和擦除行为。我们表明,忆阻器在不同波长的光下表现出正和负的持续光导效应,这归因于 Au/CsAgBiBr 界面处光调节的载流子去俘获/俘获。该器件可以在光照射下模拟兴奋性和抑制性突触可塑性以及相关的学习和记忆效应。我们构建了一个原型光电突触阵列,并实现了全光控制的记忆植入、擦除和修改,展示了光重构的认知能力。我们的发现将激发具有良好可重构性的全光控制人工神经网络的发展,以实现高效的神经形态计算和机器视觉。

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