Tunneling-Controlled Fusion of Short- and Long-Term Memory in SiO

Chengdong Yang, Lihua Xu, Linlin Su, Yue Wu

Abstract read

In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Tunneling-Controlled Fusion of Short- and Long-Term Memory in SiOAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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

4 authors.

Chengdong YangSchool of Electronic Information Engineering, Wuxi University, Wuxi, 214105, China.

Lihua XuSchool of Electronic Information Engineering, Wuxi University, Wuxi, 214105, China.

Linlin SuSchool of Electronic Information Engineering, Wuxi University, Wuxi, 214105, China.ORCID https://orcid.org/0009-0001-6362-8976

Yue WuSchool of Electronic Information Engineering, Wuxi University, Wuxi, 214105, China.

Funding

National Natural Science Youth Foundation of China 62106111Tang Heqian Fund for Outstanding Young Scholars Program 2025thq002

6 · The paper itself

Abstract

Prediction is a needful action before decision-making, typically related to the interaction of historical information and current states. It requires computing with information on multiple timescales, meaning intrinsic dynamics in short-long-term plasticity. However, current implementations of short-long-term memory are still limited by unstable retention in LTM mode and high energy consumption. Here a trap-assisted tunneling strategy is used in Schottky-based optical synapse, achieving the tunneling-switched short-long-term memory transformation. Based on the devices, the spike-timing-dependent plasticity and spike-number-dependent plasticity have been programmed with a low switching energy of 1 pJ that is close to the human brain. By adjustment of light-pulse inputs, the adaptive short-to-long-term transition can be achieved with a clear mode jump. Furthermore, the formed LTM both in stability (only 0.2 % loss ratio over a span of 50 s) and energy requirement (as low as 3.05 × 10

Indexed as

adaptive switchingneuromorphic devicesSTM/LTM fusiontrend predictiontunneling control

Identifiers

PMID41243286

DOI10.1002/advs.202517994

PMCPMC12866721

What Socratic holds

Textmetadata

LicenceCC BY

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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 Socratic graph.