Evidence map›Paper›PMID 40798900›Full record

ArticleSmall methods2025

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

Ivan Matchenya, Anton Khanas, Roman Podgornyi, Daniil Shirkin, Alexey Ekgardt, Nikita Sizykh, Sergey Anoshkin, Dmitry V Krasnikov, Alexei Yulin, Alexey Zhukov and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Small methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Ivan MatchenyaSkolkovo Institute of Science and Technology, 30/1 Bolshoy Boulevard, Moscow, 121205, Russian Federation.
Anton KhanasMoscow Institute of Physics and Technology (National research university), Institutskiy per. 9, Dolgoprudny, Moscow Region, 141701, Russia.
Roman PodgornyiITMO University, School of Physics and Engineering, St. Petersburg, 197101, Russian Federation.
Daniil ShirkinITMO University, School of Physics and Engineering, St. Petersburg, 197101, Russian Federation.
Alexey EkgardtITMO University, School of Physics and Engineering, St. Petersburg, 197101, Russian Federation.
Nikita SizykhMoscow Institute of Physics and Technology (National research university), Institutskiy per. 9, Dolgoprudny, Moscow Region, 141701, Russia.
Sergey AnoshkinITMO University, School of Physics and Engineering, St. Petersburg, 197101, Russian Federation.
Dmitry V KrasnikovSkolkovo Institute of Science and Technology, 30/1 Bolshoy Boulevard, Moscow, 121205, Russian Federation.
Alexei YulinITMO University, School of Physics and Engineering, St. Petersburg, 197101, Russian Federation.
Alexey ZhukovInternational Laboratory of Quantum Optoelectronics, HSE University, Soyuz Pechatnikov str. 16, St. Petersburg, 190008, Russian Federation.
Albert G NasibulinSkolkovo Institute of Science and Technology, 30/1 Bolshoy Boulevard, Moscow, 121205, Russian Federation.
Ivan G ScheblykinChemical Physics and NanoLund, Lund University, P.O. Box 124, Lund, 22100, Sweden.
Anatoly PushkarevSkolkovo Institute of Science and Technology, 30/1 Bolshoy Boulevard, Moscow, 121205, Russian Federation.
Andrei ZenkevichMoscow Institute of Physics and Technology (National research university), Institutskiy per. 9, Dolgoprudny, Moscow Region, 141701, Russia.
Juan BisquertInstituto de Tecnología Química (Universitat Politècnica de València-Agencia Estatal Consejo Superior de Investigaciones Científicas), València, 46022, Spain.
Alexandr MarunchenkoITMO University, School of Physics and Engineering, St. Petersburg, 197101, Russian Federation.ORCID https://orcid.org/0000-0002-0616-2524

Funding

Russian Science Foundation 22-13-00436Russian Science Foundation 23-72-00031Skolkovo Institute of Science and Technology
6 · The paper itself

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 artificial visual systems.

Indexed as

carbon nanotubesinorganic single crystalsmemristormetal halide perovskitessynaptic plasticity

Identifiers

PMID40798900
PMCPMC12464806

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.