Evidence map›Paper›PMID 34912532›Full record

ArticleJournal of healthcare engineering2021

Research on Network Model of Dentate Gyrus Based on Bionics.

Jin Zhang, Xiaoping Wei, Shiwen Zhang, Xin Niu, Guang Li, Tiantian Tian

Abstract read
In one paragraph

Article in Journal of healthcare engineering, 2021. 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

6 authors.

Jin ZhangSchool of Information Science and Engineering, Hunan Normal University, Changsha 410000, China.ORCID 0000-0001-6925-9246
Xiaoping WeiSchool of Information Science and Engineering, Hunan Normal University, Changsha 410000, China.ORCID 0000-0002-4212-0364
Shiwen ZhangSchool of Information Science and Engineering, Hunan Normal University, Changsha 410000, China.
Xin NiuScience and Technology on Parallel and Distributed Laboratory, College of Computer, National University of Defense Technology, Changsha 410000, China.
Guang LiCollege of Control Science and Engineering, Zhejiang University, Zhejiang 310058, China.
Tiantian TianSchool of Information Engineering, Zhengzhou University of Science and Technology, Zhengzhou 450000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As an important part of the brain, the dentate gyrus has an irreplaceable effect in the process of memory generation. Therefore, the study of the dentate gyrus model has important significance in the study of brain function. This paper, combined with the real anatomical structure of the dentate gyrus, is based on the existing calculation model for studying the pathological state of the dentate gyrus, a network model of dentate gyrus based on bionics. Then, a simulation experiment on the normal dentate gyrus model is performed on the NEURON platform, the output of each neuron in the model is observed, and a conclusion that the improved model can respond to stimuli, generate action potentials, and transmit them along with the neural network is made. At the same time, the output results are compared with the existing pathological models, and the characteristics of the stimulus response between neurons in the dentate gyrus under normal physiological conditions are obtained. Finally, according to the semiquantitative classification definition and quantitative classification definition of the small-world network, the model is analyzed, and it is concluded that the improved dentate gyrus network model has small-world characteristics. Therefore, the neurons in the improved dentate gyrus model are tightly connected and can simulate the real dentate gyrus to a certain extent.

Indexed as

BionicsDentate GyrusHumans

Identifiers

PMID34912532
PMCPMC8668295

What OpenQuestion holds

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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.