Evidence map›Paper›PMID 38783604›Full record

ArticleBiophysical journal2024

Mimicking the retinal neuron functions by a photoresponsive single transistor with a double gate.

Qing-An Ding, Chaoran Gu, Jianyu Li, Xiaoyuan Li, BingHui Hou, Yandong Peng, Bing Chen, Youli Yao

Abstract read
In one paragraph

Article in Biophysical journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Qing-An DingSchool of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, China.
Chaoran GuSchool of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, China.
Jianyu LiSchool of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, China.
Xiaoyuan LiSchool of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, China; Affiliated Hospital of Qingdao University, Qingdao, China. Electronic address: veronicalm@163.com.
BingHui HouAffiliated Hospital of Qingdao University, Qingdao, China. Electronic address: drhoubh@163.com.
Yandong PengSchool of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, China. Electronic address: aqd6677@126.com.
Bing ChenSchool of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, China.
Youli YaoSchool of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To realize a low-cost neuromorphic visual system, employing an artificial neuron capable of mimicking the retinal neuron functions is essential. A photoresponsive single transistor neuron composed of a vertical silicon nanowire is proposed. Similar to retinal neurons, various photoresponsive characteristics of the single transistor neuron can be modulated by light intensity as well as wavelength and have a high responsivity to green light like the human eye. The device is designed with a cylindrical surrounding double-gate structure, enclosed by an independently controlled outer gate and inner gate. The outer gate has the function of selectively inhibiting neuron activity, which can mimic lateral inhibition of amacrine cells to ganglion cells, and the inner gate can be utilized for the adjustment of the firing threshold voltage, which can be used to mimic the regulation of photoresponsivity by horizontal cells for adaptive visual perception. Furthermore, a myelination function that controls the speed of information transmission is obtained according to the inherent asymmetric source/drain structure of a vertical silicon nanowire. This work can enable photoresponsive neuronal function using only a single transistor, providing a promising hardware implementation for building miniaturized neuromorphic vision systems at low cost.

Indexed as

NanowiresSiliconTransistors, ElectronicHumansLightRetinal NeuronsSilicon

Identifiers

PMID38783604
PMCPMC11267426

What OpenQuestion holds

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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.