This will open the plot in the Figure window, and here you can add axes names, title, legend. You can export this picture as a MATLAB figure (File->Print to Figure).Select the dataset on the left and the fit on the righ side of the window and the data+fit will be plotted in the main window. If that did not happen, select the "Plotting." button (in the Main window). As the fit is calculated, your data should be plotted with the fit in the Main window.If your fit is successful, you will see the results in the "Results" area of the fitting window (scroll up to see the whole thing).(NOTE: selecting one of the fits in the table will load all of the parameters of the fit as well as the results) Your new fit is saved in the "Table of fits" at the bottom of the window. If you want to change any of the fit options select "Fit options."(see 'Hints' below), otherwise click on the "Apply" button to calculate the parameters.In the "Custom Equations" field you will see two custom equations saved - select the double-gamma equation. Enter the "Fit Name", select the sample_doubleGamma dataset from the "Data set" dropdown, and select "Custom Equations" from the "Type of fit" dropdown menu.Click on the "New Fit" button to start the new fit.Go back to the Main window, and select the "Fitting." button.Close both "Data" and "View" windows when finished.You can also view your data from here - select the "View" button to open the "View Data Set" window where you will see a list of all datapoints as well as a graph of your data points.For this example, select sampleDouble-gamma from the list. In the data window you can either load your own data by selecting it from 'X Data' and 'Y Data' drop downs (you have to have data saved in your workspace in MATLAB), or you can select an existing dataset from the 'Data Sets' list.Load the data: select the 'Data.' button in the main Curve Fitting window.NOTE: Click on any image to see the full view. So, first - download the session (if you have not already)-> hrf.cfit Load Session. I have also included some sample data to give you an idea of a result. This "session" has both gamma and double-gamma functions saved so you don't have to set them up - all you have to do is select them from a list. 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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