Evidence map›Paper›PMID 35401864›Full record

ArticleCognitive neurodynamics2022

Dynamics of

Khalil Ezzinbi, Fritz Mbounja Béssémè

Abstract read
In one paragraph

Article in Cognitive neurodynamics, 2022. 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

2 authors.

Khalil EzzinbiDépartement de Mathématiques, Faculté des Sciences Semlalia, Université Cadi-Ayyad, B.P. 2390 Marrakesh, Morocco.
Fritz Mbounja BéssémèDépartement des Mathématiques Appliquées et Informatique, Ecole de Géologie et d'Exploitation Minière de Meiganga, Université de Ngaoundéré, B.P. 115 Yaounde, Cameroun.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we use measure theory to provide new sufficient conditions for the existence, uniqueness and global exponential stability of piecewise pseudo almost periodic solutions of neutral-type inertial neural networks with mixed delay and impulsive perturbations. By proposing a variable substitution, the neutral-type inertial neural networks can be rewritten as a first-order differential equation. As a consequence, we investigate the exponential attractiveness of

Indexed as

Exponential stabilityInertial neural networksMeasure theoryMixed delaysPiecewise pseudo almost periodic function

Identifiers

PMID35401864
PMCPMC8934848

What OpenQuestion holds

Textmetadata
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.