Evidence map›Paper›PMID 35546893›Full record

ArticleFrontiers in neuroscience2022

Fixed Point Attractor Theory Bridges Structure and Function in

Jian Liu, Wenbo Lu, Ye Yuan, Kuankuan Xin, Peng Zhao, Xiao Gu, Asif Raza, Hong Huo, Zhaoyu Li, Tao Fang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neuroscience, 2022. 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
0.2field-weighted citation impact, top 59% 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, 2 citations in OpenAlex.

  1. The Controllability ofBiomimetics (Basel, Switzerland) · 2025
    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

10 authors at 3 institutions in 2 countries.

Jian LiuDepartment of Automation, Shanghai Jiao Tong University, Shanghai, China.
Wenbo LuQueensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia.
Ye YuanDepartment of Automation, Shanghai Jiao Tong University, Shanghai, China.
Kuankuan XinQueensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia.
Peng ZhaoDepartment of Automation, Shanghai Jiao Tong University, Shanghai, China.
Xiao GuDepartment of Automation, Shanghai Jiao Tong University, Shanghai, China.
Asif RazaDepartment of Automation, Shanghai Jiao Tong University, Shanghai, China.
Hong HuoDepartment of Automation, Shanghai Jiao Tong University, Shanghai, China.
Zhaoyu LiQueensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia.
Tao FangDepartment of Automation, Shanghai Jiao Tong University, Shanghai, China.
Shanghai Jiao Tong University · CNMinistry of Education of the People's Republic of China · CNUniversity of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the structure-function relationship in a neuronal network is one of the major challenges in neuroscience research. Despite increasing researches at circuit connectivity and neural network structure, their structure-based biological interpretability remains unclear. Based on the attractor theory, here we develop an analytical framework that links neural circuit structures and their functions together through fixed point attractor in

Indexed as

attractorC. elegansfixed pointneural networkstructure-function relationship

Identifiers

PMID35546893
PMCPMC9085386
OpenAlexW4224435384

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.