Dataset for: An efficient multi-stage algorithm for full calibration of the hemodynamic model from BOLD signal responses

We propose a computational strategy that falls into the category of prediction/correction iterative-type
approaches, for calibrating the hemodynamic model introduced by Friston et al. (2000). The proposed
method is employed to estimate consecutively the values of the biophysiological system parameters and
the external stimulus characteristics of the model. Numerical results corresponding to both synthetic and
real functional Magnetic Resonance Imaging (fMRI) measurements for a single stimulus as well as for
multiple stimuli are reported to highlight the capability of this computational methodology to fully calibrate
the considered hemodynamic model.