analyzePRF is a MATLAB toolbox for fitting population receptive field (pRF) models to fMRI data. It is developed by Kendrick Kay (kendrick@post.harvard.edu).
The toolbox requires the MATLAB Optimization Toolbox.
Also, the code makes use of "parfor" (Matlab Parallel Computing Toolbox). However, this is not mandatory, as you can change the "parfor" contained in fitnonlinearmodel.m to a regular "for" loop, if you like.
To use the toolbox, add it to your MATLAB path: addpath(genpath('analyzePRF'));
To try the toolbox on an example dataset, change to the analyzePRF directory and then type: example1; This script will download the example dataset (if it has not already been downloaded) and will run the toolbox on the dataset.
For additional information, please visit: http://kendrickkay.net/analyzePRF/
Terms of use: This content is licensed under a Creative Commons Attribution 3.0 Unported License (http://creativecommons.org/licenses/by/3.0/us/). You are free to share and adapt the content as you please, under the condition that you cite the appropriate manuscript (see below).
If you use analyzePRF in your research, please cite the following paper: Kay KN, Winawer J, Mezer A and Wandell BA (2013) Compressive spatial summation in human visual cortex. J. Neurophys. doi: 10.1152/jn.00105.2013
For history of major code changes, see the documentation in analyzePRF.m
Contents:
- analyzePRF.m - Top-level function that you want to call
- analyzePRFcomputeGLMdenoiseregressors.m - Helper function
- analyzePRFcomputesupergridseeds.m - Helper function
- example*.m - Example scripts
- exampledataset.mat - Example dataset
- README - The file you are reading
- setup.m - A simple script that downloads the example dataset and adds analyzePRF to the MATLAB path
- utilities - A directory containing various utility functions
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Copyright (c) 2014, Kendrick Kay All rights reserved.
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