  In this letter, we propose for the first time a method of abstracting the PPV
(Perturbation Projection Vector) characteristic of the up-to-date
memristor-based oscillators. Inspired from biological oscillators and its
characteristic named PRC (Phase Response Curve), we build a bridge between PRC
and PPV. This relationship is verified rigorously using the transistor level
simulation of Colpitts and ring oscillators, i.e., comparing the PPV converted
from PRC and the PPV obtained from accurate PSS+PXF simulation. Then we apply
this method to the PPV calculation of the memristor-based oscillator. By
keeping the phase dynamics of the oscillator and dropping the details of
voltage/current amplitude, the PPV modelling is highly efficient to describe
the phase dynamics due to the oscillator coupling, and will be very suitable
for the fast simulation of large scale oscillatory neural networks.
