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Short-Term Bienenstock-Cooper-Munro Learning in Optoelectrically-Driven Flexible Halide Perovskite Single Crystal Memristors

Matchenya, Ivan ; Khanas, Anton ; Podgornyi, Roman ; Shirkin, Daniil ; Ekgardt, Alexey ; Sizykh, Nikita ; Anoshkin, Sergey ; Krasnikov, Dmitry V. ; Yulin, Alexei and Zhukov, Alexey , et al. (2025) In Small Methods 9(9).
Abstract

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... (More)

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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Please use this url to cite or link to this publication:
@article{d06d7b0a-2c08-49fb-8845-f62aa219ce47,
  abstract     = {{<p>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.</p>}},
  author       = {{Matchenya, Ivan and Khanas, Anton and Podgornyi, Roman and Shirkin, Daniil and Ekgardt, Alexey and Sizykh, Nikita and Anoshkin, Sergey and Krasnikov, Dmitry V. and Yulin, Alexei and Zhukov, Alexey and Nasibulin, Albert G. and Scheblykin, Ivan G. and Pushkarev, Anatoly and Zenkevich, Andrei and Bisquert, Juan and Marunchenko, Alexandr}},
  issn         = {{2366-9608}},
  keywords     = {{carbon nanotubes; inorganic single crystals; memristor; metal halide perovskites; synaptic plasticity}},
  language     = {{eng}},
  number       = {{9}},
  publisher    = {{John Wiley & Sons Inc.}},
  series       = {{Small Methods}},
  title        = {{Short-Term Bienenstock-Cooper-Munro Learning in Optoelectrically-Driven Flexible Halide Perovskite Single Crystal Memristors}},
  url          = {{http://dx.doi.org/10.1002/smtd.202500203}},
  doi          = {{10.1002/smtd.202500203}},
  volume       = {{9}},
  year         = {{2025}},
}