Create README.md

Author: pzeidman

README.md

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+# BayespRF
+The BayespRF Toolbox is a framework for specifying and comparing models of population receptive fields (pRFs). It is built in Matlab and depends upon [SPM](http://www.fil.ion.ucl.ac.uk/spm/).
+
+## Installing
+1. Copy the 'toolbox' folder to a location on your computer of your choice.
+2. Add the 'toolbox' folder to your Matlab path with subfolders.
+
+## Running the example dataset
+A good way to get started is to try fitting a pRF model using an example dataset. The toolbox includes a folder called 'example_3T' which contains the necessary scripts to automatically download and analyse the example dataset supplied with the [SamSrf](https://figshare.com/articles/SamSrf_toolbox_for_pRF_mapping/1344765) toolbox.
+
+**Part 1: Downloading the data, extracting timeseries**
+
+1. Copy the 'example_3T' folder, included with BayespRF, to a location of your choice on your computer.
+2. Navigate to the 'example_3T/scripts' folder in Matlab.
+3. Edit the 'Run_first_level' script - set the data_root_dir variable to the directory where you would like to store the example dataset.
+4. Run the 'Run_first_level' script. The GLM will be estimated and timeseries extracted for each of 10 runs.
+
+**Part 2: Running the pRF analysis**
+
+1. Edit the Run_pRF_analysis script, which you will find in the 'example_3T/scripts' folder. Change the data_root_dir variable to match the location containing the example dataset.
+2. Run the Run_pRF_analysis script. A pRF model will be specified covering 6669 voxels. A single pRF will then be estimated (index 3439) and a window will be displayed with the results.