Issue 6, 2021

Emulation of biphasic plasticity in retinal electrical synapses for light-adaptive pattern pre-processing

Abstract

Electrical synapses provide rapid, bidirectional communication in nervous systems, accomplishing tasks distinct from and complementary to chemical synapses. Here, we demonstrate an artificial electrical synapse based on second-order conductance transition (SOCT) in an Ag-based memristor for the first time. High-resolution transmission electron microscopy indicates that SOCT is mediated by the virtual silver electrode. Besides the conventional chemical synaptic behaviors, the biphasic plasticity of electrical synapses is well emulated by integrating the device with a photosensitive element to form an optical pre-processing unit (OPU), which contributes to the retinal neural circuitry and is adaptive to ambient illumination. By synergizing the OPU and spiking neural network (SNN), adaptive pattern recognition tasks are accomplished under different light and noise settings. This work not only contributes to the further completion of synaptic behaviour for hardware-level neuromorphic computing, but also potentially enables image pre-processing with light adaptation and noise suppression for adaptive visual recognition.

Graphical abstract: Emulation of biphasic plasticity in retinal electrical synapses for light-adaptive pattern pre-processing

Supplementary files

Article information

Article type
Communication
Submitted
09 Nov 2020
Accepted
24 Dec 2020
First published
26 Dec 2020

Nanoscale, 2021,13, 3483-3492

Emulation of biphasic plasticity in retinal electrical synapses for light-adaptive pattern pre-processing

L. Wu, Z. Wang, B. Wang, Q. Chen, L. Bao, Z. Yu, Y. Yang, Y. Ling, Y. Qin, K. Tang, Y. Cai and R. Huang, Nanoscale, 2021, 13, 3483 DOI: 10.1039/D0NR08012H

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