ESTIMATING DIFFUSION COEFFICIENT AND DRIFT IN A SET OF NEURONAL DATA

Reinhard HÖPFNER

Institute of Mathematics, University of Mainz,
Germany


ABSTRACT

We consider a set of data where the membrane potential in a pyramidal neuron is measured almost continuously in time, under varying experimental conditions. We use nonparametric estimates for the diffusion coefficient and the drift in view to contribute to the discussion which type of diffusion process is suitable to model the membrane potential in a neuron (more precisely: in a particular neuron under particular experimental conditions).



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