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Bidirectionally Modulated Synaptic Plasticity with Optically Tunable Ionic Transistors
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DOI：10.1021/acsaelm.2c00289.png)
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Recently, hardware implementation of neuromorphic device in the optical domain is considered as one of the most promising routes to realize energy-efficient neuromorphic computing systems. Especially, a complete plasticity modulation by all-photonic stimulation has been one of the most important challenges for implementation of an optoelectronic neuromorphic device. Here, we demonstrate a fully optically driven bidirectional synaptic device using ionic electrolyte transistors. The photovoltaic divider enables wavelength-selective light-to-voltage conversion and subsequently induces ionic migration in the electrolyte, resulting in the synaptic potentiation or depression. Based on the synaptic characteristics, pattern recognition with an accuracy up to 90.1% is obtained in the Modified National Institute of Standards and Technology simulation.
Keyword:
neuromorphic computing
optically driven synaptic device
metal chalcogenide
pattern recognition
ionic electrolyte transistor
期刊
IF:
4.7
论文数:
5.0K
被引数:
1.4W
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