Matchenya, IvanKhanas, AntonPodgornyi, RomanShirkin, DaniilEkgardt, AlexeySizykh, NikitaAnoshkin, SergeyKrasnikov, Dmitry V.Yulin, AlexeiZhukov, AlexeyNasibulin, Albert G.Scheblykin, IvanZenkevich, AndreiBisquert, Juan2025-09-182025-09-182025-08-21https://riunet.upv.es/handle/10251/226141"This is the peer reviewed version of the following article: [Short-Term Bienenstock-Cooper-Munro Learning in Optoelectrically-Driven Flexible Halide Perovskite Single Crystal Memristors], which has been published in final form at https://doi.org/10.1002/smtd.202500203]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving."[EN] 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.Reconocimiento (by)Perovskite single crystalsMemristorsOptoelectronic devicesNeuromorphic computingBienenstock-Cooper-Munro learningPlasticityFlexible electronicsSynaptic devicesArtículo10.1002/smtd.202500203Abierto2366-960840798900