Article ID Journal Published Year Pages File Type
1890377 Chaos, Solitons & Fractals 2009 5 Pages PDF
Abstract
In this paper, a new model of small-world biological neural networks based on biophysical Hodgkin-Huxley neurons with time-varying weights is proposed. Then the synchronization phenomenon of small-world biological neural networks evoked by the learning rate is studied. The study shows that there exists an optimal synchronization state by changing the learning rate.
Related Topics
Physical Sciences and Engineering Physics and Astronomy Statistical and Nonlinear Physics
Preview
Optimal synchronization in small-world biological neural networks with time-varying weights
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