Population Receptive Field (pRF)

Code for fitting population receptive fields (Dumoulin & Wandell, 2008) for multidimensional models. Includes optional compressive spatial summation exponential parameter (Kay et al., 2013).

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Demonstration

1. Add pathing to pRF package

   addpath(genpath('PathToPackage'));

2. Open demopRF.m

   open demopRF

3. Edit Pathing to Directories

   • Uncomment directories section and edit as based on your computer's pathing
   
   ```matlab % paths = createPaths(); % initialize paths structure % paths.data = fullfile(paths.main, 'Ver2.0', 'Demo', 'DemoData'); % path to demostration data directory % paths.results = fullfile(paths.main, 'Ver2.0', 'Demo', 'DemoExampleResults'); % path to output results directory % paths = createPaths(paths); % create paths if they do not already exist ```

4. Run demopRF.m

   • Estimates pRF parameters, mu & sigma & exp, along with HRF parameters, tau & delta, for the demonstration data
   • Plots histogram of estimated pRF parameters mu, sigma, exp, and corr
   • Plots pRF model predicted voxel time courses vs. actual voxel time courses

Continue for BrainVoyager Only visualization demo scripts

5. Open demoBVFiles.m

   open demoBVFiles

6. Edit pathing to main directory

   paths.main = ''; % input main working directory

7. Run demoBVFiles.m

   • Creates a .olt file based on the number of specified colors
   • Creatae a .vmp file for the parameters specified, able to adjust for a range of parameter fits

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Latest Version

Version 2.0

• m-D pRF modeling: can fit 1D pRF model (i.e., Tonotopy), or 2D pRF models (i.e., Retinotopy), up to m-D pRF models
• Iterative HRF fitting: takes a subset of voxels past settable threshold after initial pRF parameter fitting, holds those constant, fits tau + delta HRF parameters, take median tau + delta, hold those constant, and re-fit pRF parameter(s) on subset of voxels for specified iterations

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Contributor(s)

Kelly Chang - @kellychang4 - kchang4@uw.edu

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Dependencies

BVQXtools/NeuroElf

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References

Dumoulin, S. O., & Wandell, B. A. (2008). Population receptive field estimates in human visual cortex. Neuroimage, 39(2), 647-660.

Kay, K. N., Winawer, J., Mezer, A., & Wandell, B. A. (2013). Compressive spatial summation in human visual cortex. Journal of neurophysiology, 110(2), 481-494.