Phase resetting and coupling of noisy neural oscillators


DOI: 10.1007/s10827-005-5427-0

Cite this article as:
Ermentrout, B. & Saunders, D. J Comput Neurosci (2006) 20: 179. doi:10.1007/s10827-005-5427-0


A number of experimental groups have recently computed Phase Response Curves (PRCs) for neurons. There is a great deal of noise in the data. We apply methods from stochastic nonlinear dynamics to coupled noisy phase-resetting maps and obtain the invariant density of phase distributions. By exploiting the special structure of PRCs, we obtain some approximations for the invariant distributions. Comparisons to Monte-Carlo simulations are made. We show how phase-dependence of the noise can move the peak of the invariant density away from the peak expected from the analysis of the deterministic system and thus lead to noise-induced bifurcations.


Noise Neural oscillators Phase resetting Pulsatile coupling 

Copyright information

© Springer Science + Business Media, LLC 2006

Authors and Affiliations

  1. 1.Department of MathematicsUniversity of PittsburghPittsburghUSA

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