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A new mathematical model for complex neural networks of the partly diffusive Hindmasrh-Rose equations with boundary coupling is proposed. Through analysis of absorbing dynamics for the solution semiflow, the asymptotic… Click to show full abstract
A new mathematical model for complex neural networks of the partly diffusive Hindmasrh-Rose equations with boundary coupling is proposed. Through analysis of absorbing dynamics for the solution semiflow, the asymptotic synchronization of the complex neuronal networks at a uniform exponential rate is proved under the condition that stimulation signal strength of the ensemble boundary coupling exceeds a quantitative threshold expressed by the biological parameters.
Keywords:
neural networks;
complex neural;
dynamics synchronization;
synchronization complex;
boundary coupling
Journal Title: Analysis and Mathematical Physics
Year Published: 2022
Link to full text (if available)
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Journal Title: Analysis and Mathematical Physics
Year Published: 2022
Link to full text (if available)
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recommendations!