Lateral flexible memristors demonstrate Bienenstock-Cooper-Munro learning in perovskite devices, indicating advancements for artificial visual systems.
The transition to smart, wearable, and flexible optoelectronic devices that communicate with each other and perform neuromorphic computing at the edge, is a major goal in next-generation optoelectronics. These devices are expected to carry out their regular tasks while being supported by energy-efficient, in-memory computations. In this study, a lateral flexible device based on cesium lead tribromide perovskite single crystals integrated with single-walled carbon nanotube thin-film electrodes is presented. It is demonstrated that the device follows the Bienenstock-Cooper-Munro theory of synaptic modification under hybrid optoelectronic stimuli. This biorealistic response paves the way for the development of hybrid organic-inorganic artificial visual systems.
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Matchenya et al. (2025) studied this question.
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