Estimation of single-neuron model parameters from spike train data

Estimating parameters for models of neurons requires a quantitative comparison between the model output and empirical data. The present study compares three error functions: voltage time-series (VTS), cumulative voltage integrals (CVI), and phase histograms (PH). In two test cases, predefined models were used to produce target data and to compare the… (More)