Comparison of Statistical Methods for Estimation of the Input Parameters in the Ornstein-Uhlenbeck Neuronal Model from First-Passage Times Data

摘要

The Ornstein-Uhlenbeck neuronal model is reviewed, and estimation of the input parameters from first-passage times are being discussed. Three methods previously suggested in the literature are compared through simulations; namely what we have denoted the Moment Method, the Laplace Transform method, and the Integral Equation method, Finally the methods are also applied to experimental data, where the membrane potential is also recorded intracellularly This permits to compare the methods based on the limited information contained in first-passage times only to evaluations from more complete observations of the otherwise hidden membrane potential.