We investigated the impact of changes in biologically relevant control parameters, such as the shape of an external perturbation or the conductance values of an individual model neuron, on the shape of the phase resetting curve (PRC) of that neuron. For that purpose, PRCs were generated for groups of Morris-Lecar (ML) model neurons with different conductance values but similar firing periods (within 0.005ms) using external rectangular, triangular, or trapezoidal perturbations of varying areas. These PRCs were numerically described and analyzed as a series of coefficient values using a Fourier Discrete Sine Transform (DST). We found that changes in the shape of the external perturbation had no significant impact on the PRC, as long as the overall area of the perturbation remained constant. We also determined that changes in conductance values had a small impact on the overall area of the PRC, however the overall PRC shapes remained similar.
Raidt, Robert A. and Oprisan, Sorinel A.
"Fourier Analysis of Phase Resetting Curves of Neural Oscillators,"
Journal of the South Carolina Academy of Science: Vol. 11
, Article 1.
Available at: https://scholarcommons.sc.edu/jscas/vol11/iss2/1