Experimental study demonstrates pulse-dependent plasticity in TiO2 optoelectronic synapses for image denoising, suggesting pathways for high-speed neuromorphic vision systems.
This work employs optical pulses spanning microsecond to nanosecond durations, demonstrating pulse‐length‐dependent photocurrent plasticity in a self‐adaptive manner. Learn‐forget cycles are realized through two distinct synaptic behaviors: depression and potentiation. Both are exploited for in‐sensor denoising of digital images, enhancing recognition accuracy from 92% to 96% and from 93% to 96%, respectively. This research provides an optoelectronic device scheme for high‐speed, low‐power neuromorphic vision systems.
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Zhang et al. (2026) studied this question.
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