Exponential synchronization of memristive Hindmarsh–Rose neural networks
نویسندگان
چکیده
A new model of neural networks in terms the memristive Hindmarsh–Rose equations is proposed. Globally dissipative dynamics shown with absorbing sets state spaces. Through sharp and uniform grouping estimates by leverage integral interpolation inequalities tackling linear network coupling against nonlinearity, it proved that exponential synchronization at a convergence rate occurs when strengths satisfy threshold conditions which are quantitatively expressed parameters.
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ژورنال
عنوان ژورنال: Nonlinear Analysis-real World Applications
سال: 2023
ISSN: ['1878-5719', '1468-1218']
DOI: https://doi.org/10.1016/j.nonrwa.2023.103909