Inference on the effect of non homogeneous inputs in Ornstein-Uhlenbeck neuronal modeling
A non-homogeneous Ornstein-Uhlembeck (OU) diffusion process is considered as a model for the membrane potential activity of a single neuron. We assume that, in the absence of stimuli, the neuron activity is described via a time-homogeneous process with linear drift and constant infinitesimal varianc...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
AIMS Press
2020-01-01
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Series: | Mathematical Biosciences and Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2020018?viewType=HTML |