This short tutorial will show you how to use the "session" I have created. The Curve Fitting Toolbox page has enough documentation to make you an expert in using it (I would highly recommed their demos), so I will not go into details here. As mentioned before, there are two tools you can use to fit an hrf to your data: **inital values are also those used in Neurolens.Īnd now the tutorials. *this is the function used in Neurolens by Rick Hoge. In this case a double-gamma function is used, which is simply a sum of two gamma functions. A gamma function is not, however, able to describe all cases, as the data in example 2 below (undershoot) shows. When fitting an hrf to your data, you are calculating these parameters such that a resulting hrf best describes your data. The third parameter (K) is a simple scaling factor (signal is given in arbitrary units - au). The basic hrf function is a gamma function * (see example 1 below) described with two parameters: A - time to peak and W - full width at half maximum. I am not sure they will work with any other versions of the software (specifically not older) or on a different platform (for Matlab, DeltaGraph is Mac only, I believe).įirst, a few words about the hrf (or skip this section and go directly to the tutorials). These scripts were created on Mac (OSX) with Matlab 7.0.4 (and the Curve Fitting Toolbox 1.1.3) and DeltaGraph 5. Hrf.cfit -> for the Curve Fitting Toolbox, and/or In addition, you will need the following scripts: It assumes you have some basic knowledge of Matlab and/or DeltaGraph and that you have those tools available to you. This tutorial will describe fitting an hrf to your data, using two different tools: Matlab's Curve Fitting Toolbox and DeltaGraph.
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