Multifunctional organic artificial optoelectronic synapses for neuromorphic computing and a weak-light-sensitive visual system

Abstract

Artificial optoelectronic synapses (AOSs) with electrical and photonic responsiveness are the prerequisite for the realization of a neuromorphic visual system that emulates the biological retina. These retina-inspired devices enable efficiently perceiving, processing, and storing information through synaptic weight modulation via synergistic photonic and electrical stimulation. However, challenges persist in AOS research, particularly regarding two-terminal vertical architectures capable of achieving intraneuronal sensory integration through synergistic electrical and photonic stimulation. Herein, we fabricated a two-terminal AOS using an organic donor:acceptor blend (PBDB-T-2F:BTP-eC9) that exhibited electrical- and photonic-driven synaptic behaviours. Our device exhibited voltage-driven analog resistive switching behaviours and synaptic plasticity. Meanwhile, an artificial neural network could be simulated based on the as-fabricated AOS, demonstrating 93.7% recognition accuracy for a handwritten small digit image. Additionally, our device demonstrated light-driven synaptic plasticity and a low-density (20 μW cm−2) light-induced “learning-experience” behaviour. Significantly, our device also demonstrated the capacity to process complex electrical and optical inputs, which was validated by a photonic programming–electrical erasing function and in experiments involving associative learning. Our work shows that the proposed AOS offers great potential for functional extension in artificial visual systems.

Graphical abstract: Multifunctional organic artificial optoelectronic synapses for neuromorphic computing and a weak-light-sensitive visual system

Supplementary files

Article information

Article type
Paper
Submitted
17 Dec 2024
Accepted
28 Apr 2025
First published
12 May 2025

J. Mater. Chem. C, 2025, Advance Article

Multifunctional organic artificial optoelectronic synapses for neuromorphic computing and a weak-light-sensitive visual system

P. Lei, Z. He, L. Cao, M. Zhang, C. Zheng, H. Lin, X. Du and S. Tao, J. Mater. Chem. C, 2025, Advance Article , DOI: 10.1039/D4TC05321D

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