Light-enhanced molecular polarity enabling multispectral color-cognitive memristor for neuromorphic visual system

Jongmin Lee, Bum Ho Jeong, Eswaran Kamaraj, Dohyung Kim, Hakjun Kim, Sanghyuk Park () and Hui Joon Park ()
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Jongmin Lee: Hanyang University
Bum Ho Jeong: Hanyang University
Eswaran Kamaraj: Kongju National University
Dohyung Kim: Hanyang University
Hakjun Kim: Hanyang University
Sanghyuk Park: Kongju National University
Hui Joon Park: Hanyang University

Nature Communications, 2023, vol. 14, issue 1, 1-19

Abstract: Abstract An optoelectronic synapse having a multispectral color-discriminating ability is an essential prerequisite to emulate the human retina for realizing a neuromorphic visual system. Several studies based on the three-terminal transistor architecture have shown its feasibility; however, its implementation with a two-terminal memristor architecture, advantageous to achieving high integration density as a simple crossbar array for an ultra-high-resolution vision chip, remains a challenge. Furthermore, regardless of the architecture, it requires specific material combinations to exhibit the photo-synaptic functionalities, and thus its integration into various systems is limited. Here, we suggest an approach that can universally introduce a color-discriminating synaptic functionality into a two-terminal memristor irrespective of the kinds of switching medium. This is possible by simply introducing the molecular interlayer with long-lasting photo-enhanced dipoles that can adjust the resistance of the memristor at the light-irradiation. We also propose the molecular design principle that can afford this feature. The optoelectronic synapse array having a color-discriminating functionality is confirmed to improve the inference accuracy of the convolutional neural network for the colorful image recognition tasks through a visual pre-processing. Additionally, the wavelength-dependent optoelectronic synapse can also be leveraged in the design of a light-programmable reservoir computing system.

Date: 2023
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DOI: 10.1038/s41467-023-41419-y

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