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Journals / Sigma Mühendislik ve Fen Bilimleri Dergisi / 2026 / Volume: 42 Issue: 3

The stability analysis of a neural field model with small delay

Berrak Özgür(Department of Mathematics, İzmir Democracy University, İzmir, 35140, Türkiye)0000-0002-9709-7376
Ali Demir(Department of Mathematics, Kocaeli University, Kocaeli, 41380, Türkiye)
Pages
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Publication Date
2024-06-12
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The primary purpose of this analysis is to provide a unifying mathematical framework for illustrating the effect of small delay considering the cases in Routh-Hurwitz criterion.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study it is elucidated a mathematical framework in which the stability for the neural field model for two neuron populations with small delay is investigated.
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Key Findings & Data:In this study it is elucidated a mathematical framework in which the stability for the neural field model for two neuron populations with small delay is investigated.
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Conclusion & Impact:The primary purpose of this analysis is to provide a unifying mathematical framework for illustrating the effect of small delay considering the cases in Routh-Hurwitz criterion.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Neural Field Model · Routh- Hurwitz Criterion · Stability Analysis

Abstract

In this study it is elucidated a mathematical framework in which the stability for the neural field model for two neuron populations with small delay is investigated. The primary purpose of this analysis is to provide a unifying mathematical framework for illustrating the effect of small delay considering the cases in Routh-Hurwitz criterion.

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Cite This Article

Özgür, B., Demir, A. (2024). The stability analysis of a neural field model with small delay. Sigma Mühendislik ve Fen Bilimleri Dergisi, Volume: 42 Issue: 3. https://ajindex.com/articles/1344521

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