Evidence map›Paper›PMID 39404300›Full record

ReviewNanomaterials (Basel, Switzerland)2024

Optical Bio-Inspired Synaptic Devices.

Pengcheng Li, Kesheng Wang, Shanshan Jiang, Gang He, Hainan Zhang, Shuo Cheng, Qingxuan Li, Yixin Zhu, Can Fu, Huanhuan Wei and 2 more

Abstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Pengcheng LiSchool of Integrated Circuits, Anhui University, Hefei 230601, China.
Kesheng WangSchool of Integrated Circuits, Anhui University, Hefei 230601, China.
Shanshan JiangSchool of Integrated Circuits, Anhui University, Hefei 230601, China.
Gang HeSchool of Materials Science and Engineering, Anhui University, Hefei 230601, China.
Hainan ZhangSchool of Integrated Circuits, Anhui University, Hefei 230601, China.
Shuo ChengSchool of Integrated Circuits, Anhui University, Hefei 230601, China.
Qingxuan LiSchool of Integrated Circuits, Anhui University, Hefei 230601, China.
Yixin ZhuYongjiang Laboratory (Y-LAB), Ningbo 315202, China.
Can FuSchool of Materials Science and Engineering, Anhui University, Hefei 230601, China.
Huanhuan WeiSchool of Materials Science and Engineering, Anhui University, Hefei 230601, China.
Bo HeSchool of Materials Science and Engineering, Anhui University, Hefei 230601, China.
Yujiao LiSchool of Materials Science and Engineering, Anhui University, Hefei 230601, China.

Funding

National Natural Science Foundation of China 11774001National Natural Science Foundation of China 52202156
6 · The paper itself

Abstract

The traditional computer with von Neumann architecture has the characteristics of separate storage and computing units, which leads to sizeable time and energy consumption in the process of data transmission, which is also the famous "von Neumann storage wall" problem. Inspired by neural synapses, neuromorphic computing has emerged as a promising solution to address the von Neumann problem due to its excellent adaptive learning and parallel capabilities. Notably, in 2016, researchers integrated light into neuromorphic computing, which inspired the extensive exploration of optoelectronic and all-optical synaptic devices. These optical synaptic devices offer obvious advantages over traditional all-electric synaptic devices, including a wider bandwidth and lower latency. This review provides an overview of the research background on optoelectronic and all-optical devices, discusses their implementation principles in different scenarios, presents their application scenarios, and concludes with prospects for future developments.

Indexed as

all-optical modulationneuromorphic computingoptoelectronicsynaptic devices

Identifiers

PMID39404300
PMCPMC11477948

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.