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Continuous Data Assimilation for Memristive FitzHugh--Nagumo Neural Networks
In this study, we investigate continuous data assimilation for a class of partly diffusive FitzHugh--Nagumo neural networks with memristive feedback and linear synaptic coupling. The nudging algorithm implemented here only adds a feedback term to the membrane-potential equations, while the recovery
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