  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.
