Comparative analysis of models of genetic and neuronal networks

The comparative analysis of systems of ordinary differential equations, modeling gene regulatory networks and neuronal networks, is provided. In focus of the study are asymptotical behavior of solutions, types of attractors. Emphasis is made on the chaotic behavior of solutions.

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Bibliographic Details
Published inMathematical modelling and analysis Vol. 29; no. 2; pp. 277 - 287
Main Authors Ogorelova, Diana, Sadyrbaev, Felix
Format Journal Article
LanguageEnglish
Published Vilnius Vilnius Gediminas Technical University 26.03.2024
Subjects
artificial neural network
Comparative analysis
Differential equations
dynamical systems
gene regulatory network
Genes
Lyapunov exponents
Mathematical models
Mathematics
Neural networks
Neurons
Ordinary differential equations
periodic solution
periodic solution
dynamical systems
artificial neural network
Lyapunov exponents
gene regulatory network
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Summary:The comparative analysis of systems of ordinary differential equations, modeling gene regulatory networks and neuronal networks, is provided. In focus of the study are asymptotical behavior of solutions, types of attractors. Emphasis is made on the chaotic behavior of solutions.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1392-6292
1648-3510
DOI:10.3846/mma.2024.19714