ERGODICITY AND LIMIT THEOREMS FOR DEGENERATE DIFFUSIONS WITH TIME PERIODIC DRIFT. APPLICATION TO A STOCHASTIC HODGKIN-HUXLEY MODEL

作者：Hoepfner Reinhard; Loecherbach Eva; Thieullen Michele

来源：ESAIM: Probability and Statistics , 2016, 20: 527-554.

DOI：10.1051/ps/2016020

• Degenerate diffusion processes
• time inhomogeneous diffusion processes
• weak Hoermander condition
• support theorem
• periodic ergodicity
• Hodgkin-Huxley
• dendritic input
• spike trains

We formulate simple criteria for positive Harris recurrence of strongly degenerate stochastic differential equations with smooth coefficients on a state space with certain boundary conditions. The drift depends on time and space and is periodic in the time argument. There is no time dependence in the diffusion coefficient. Control systems play a key role, and we prove a new localized version of the support theorem. Beyond existence of some Lyapunov function, we only need one attainable inner point of full weak Hoermander dimension. Our motivation comes from a stochastic Hodgkin-Huxley model for a spiking neuron including its dendritic input. This input carries some deterministic periodic signal coded in its drift coefficient and is the only source of noise for the whole system. We have a 5d SDE driven by 1d Brownian motion. As an application of the general results above, we can prove positive Harris recurrence. Here analyticity of the coefficients and Nummelin splitting allow to formulate a Glivenko-Cantelli type theorem for the interspike intervals.

• 出版日期2016