Journal of Computational Neuroscience

, Volume 20, Issue 2, pp 179-190

First online:

Phase resetting and coupling of noisy neural oscillators

  • Bard ErmentroutAffiliated withDepartment of Mathematics, University of Pittsburgh Email author 
  • , David SaundersAffiliated withDepartment of Mathematics, University of Pittsburgh

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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