Inverse Logit Hemodynamic Response Estimation Toolbox

This toolbox will estimate parameters for a flexible hemodynamic response function (HRF) using three superimposed inverse logit functions. The HRF is fit using seven parameters, and can capture a variety of HRF shapes, including sustained activations.
Main inputs include a data timeseries and indicator (stick) function for the onsets of events.
The function can be used with ROI timeseries or incorporated into whole-brain HRF-estimation tools.

Lindquist, M. and Wager, T. D. (in press). Validity and Power in Hemodynamic Response Modeling: A comparison study and a new approach. Human Brain Mapping (2007).

Get the software: - version 1.0