Evidence map›Paper›PMID 35494131›Full record

ArticleRSC advances2021

Synaptic transistors based on a tyrosine-rich peptide for neuromorphic computing.

Min-Kyu Song, Young-Woong Song, Taehoon Sung, Seok Daniel Namgung, Jeong Hyun Yoon, Yoon-Sik Lee, Ki Tae Nam, Jang-Yeon Kwon

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2021. 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
0.3field-weighted citation impact, top 42% of its field
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, 6 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 1 country.

Min-Kyu SongSchool of Integrated Technology, Yonsei University Incheon 21983 Republic of Korea jangyeon@yonsei.ac.kr.
Young-Woong SongSchool of Integrated Technology, Yonsei University Incheon 21983 Republic of Korea jangyeon@yonsei.ac.kr.ORCID https://orcid.org/0000-0002-2515-6410
Taehoon SungSchool of Integrated Technology, Yonsei University Incheon 21983 Republic of Korea jangyeon@yonsei.ac.kr.
Seok Daniel NamgungDepartment of Materials Science and Engineering, Seoul National University Seoul 08826 Republic of Korea.
Jeong Hyun YoonSchool of Integrated Technology, Yonsei University Incheon 21983 Republic of Korea jangyeon@yonsei.ac.kr.
Yoon-Sik LeeSchool of Chemical and Biological Engineering, Seoul National University Seoul 08826 Republic of Korea.
Ki Tae NamDepartment of Materials Science and Engineering, Seoul National University Seoul 08826 Republic of Korea.ORCID https://orcid.org/0000-0001-6353-8877
Jang-Yeon KwonSchool of Integrated Technology, Yonsei University Incheon 21983 Republic of Korea jangyeon@yonsei.ac.kr.ORCID https://orcid.org/0000-0002-5231-8307
Yonsei University · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this article, we propose an artificial synaptic device based on a proton-conducting peptide material. By using the redox-active property of tyrosine, the Tyr-Tyr-Ala-Cys-Ala-Tyr-Tyr peptide film was utilized as a gate insulator that shows synaptic plasticity owing to the formation of proton electric double layers. The ion gating effects on the transfer characteristics and temporal current responses are shown. Further, timing-dependent responses, including paired-pulse facilitation, synaptic potentiation, and transition from short-term plasticity to long-term plasticity, have been demonstrated for the electrical emulation of biological synapses in the human brain. Herein, we provide a novel material platform that is bio-inspired and biocompatible for use in brain-mimetic electronic devices.

Identifiers

PMID35494131
PMCPMC9044548
OpenAlexW4205665603

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.