Strong Solutions of the Neuronal Responses System

We explore a connected reaction-diffusion system involving neural responses within limited convex open domains . Utilizing the Classical Faedo-Galerkin technique and employing compactness arguments, we establish the existence, uniqueness, and continuous dependence on initial data for strong solutions.

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Publication Details

Journal
Journal of Kufa for Mathematics and Computer
Published
2024-08-31
DOI
https://doi.org/10.31642/jokmc/2018/110208
Primary Topic
stochastic dynamics and bifurcation
Type
article
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article

Strong Solutions of the Neuronal Responses System

Ghassan A. Al-Juaifri, Raad Abd
Journal of Kufa for Mathematics and Computer
stochastic dynamics and bifurcation
article

Strong Solutions of the Neuronal Responses System

Ghassan A. Al-Juaifri, Raad Abd
article en

Abstract

We explore a connected reaction-diffusion system involving neural responses within limited convex open domains . Utilizing the Classical Faedo-Galerkin technique and employing compactness arguments, we establish the existence, uniqueness, and continuous dependence on initial data for strong solutions.

Journal of Kufa for Mathematics and ComputerVol. 11(2)
University of Kufa (IQ)
Reduced inequalities
Openalex Percentile: Top 85%
stochastic dynamics and bifurcation
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Strong Solutions of the Neuronal Responses System — Ghassan A. Al-Juaifri, Raad Abd · Journal of Kufa for Mathematics and Computer (2024) | TGRS Research Map | TGRS