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