journal article·2026-05-15Open access

An optoelectronic synapse based on electrochemically deposited CuI thin film for neuromorphic visual processing

Qiufei Yu, Zhongao Yang, Xiaojian Chen, Zhiwei Zhu, Chunli Jiang, Chunhua Luo, Chang Yang, Xiaodong Tang, Hui Peng

Nanotechnology· Volume 37· Issue 19

Abstract

Abstract This work reports a low-cost optoelectronic synaptic device based on an electrochemically deposited CuI thin film. The electrochemical deposition technique enables large-area and uniform thin-film fabrication under low-temperature and ambient-pressure conditions, offering significant advantages of simple processing, cost-effectiveness, and compatibility with flexible substrates. Under 445 nm light stimulation, the device successfully emulates the biological synaptic functions, including paired-pulse facilitation, spike-width-dependent plasticity, spike-frequency-dependent plasticity, and spike-number-dependent plasticity. Furthermore, by implementing a convolutional neural network for backend processing of the device-generated optoelectronic pulse signals, a high training set recognition accuracy of 95.2% is achieved under 50% noise perturbation in clothing image classification tasks, validating its potential for low-power, highly parallel neuromorphic computing applications.
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Research context

OpenAlex topics: Advanced Memory and Neural Computing · Transition Metal Oxide Nanomaterials · Neural Networks and Reservoir Computing

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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