Evidence map›Paper›PMID 38482740›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Artificial Tactile Sensing Neuron with Tactile Sensing Ability Based on a Chitosan Memristor.

Lu Wang, Peng Zhang, Zhiqiang Gao, Dianzhong Wen

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

4 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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  4. Artificial Tactile Sensing Neuron with Tactile Sensing Ability Based on a Chitosan Memristor.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    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 at 1 institution in 1 country.

Lu WangSchool of Electronic Engineering, Heilongjiang University, Harbin, 150080, China.ORCID 0000-0002-7912-2021
Peng ZhangSchool of Electronic Engineering, Heilongjiang University, Harbin, 150080, China.
Zhiqiang GaoSchool of Electronic Engineering, Heilongjiang University, Harbin, 150080, China.
Dianzhong WenSchool of Electronic Engineering, Heilongjiang University, Harbin, 150080, China.
Heilongjiang University · CN

Funding

Basic Research Project funded by the Basic Research Business Funding for Provincial Universities in Heilongjiang Province 2022-KYYWF-1088Heilongjiang Province Double First-Class Disciplines Collaborative Innovation Achievement Project LJGXCG2023-030Heilongjiang Provincial Natural Science Foundation of China LH2021F045National Natural Science Foundation of China 62371183
6 · The paper itself

Abstract

Owing to the highly parallel network structure of the biological neural network and its triggered processing mode, tactile sensory neurons can realize the perception of external signals and the functions of perception, memory, and data processing by adjusting the synaptic weight. In this paper, a piezoresistive pressure sensor is combined with a memristor to design an artificial tactile sensory neuron. The polyurethane sponge sensor has excellent sensitivity and can convert physical stimuli into electrical signals, and the chitosan-based memristor has stable bipolar resistive switching characteristics, allowing further information to be memorized and processed. The neuron can respond to tactile stimuli of different degrees, durations, and frequencies; realize potentiation/depression modulation, paired-pulse facilitation, and spike-timing-dependent plasticity; exhibit spike-rate-dependent plasticity; and store and erase tactile information through memistor state switching, which has great application potential in biological sensing systems.

Indexed as

ChitosanTouchAnimalsEquipment DesignNeuronsChitosandata processinginformation storagememristortouch‐sensing neuron

Identifiers

PMID38482740
PMCPMC11109609
OpenAlexW4392811679

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.