GLMdenoise is a MATLAB toolbox for analyzing and denoising task-based fMRI data.
It is developed by Kendrick Kay ([email protected]).

To use the toolbox, add it to your MATLAB path:
  addpath(genpath('GLMdenoise'));

To try the toolbox on an example dataset, change to the GLMdenoise 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/GLMdenoise/

History of major code changes:
- 2013/05/12:
    Version 1.1.
    - The experimental design can now be specified in terms of onset times.
      This means that conditions do not have to exactly coincide with the TRs.
    - Fixed a bug concerning extraregressors.
    - Additional optional inputs, additional outputs, and additional figures.
    - All-zero regressors (e.g. encountered via bootstrapping) are now assigned zero weight.
- 2012/12/03 - Version 1.02. Various speed-ups and minor bug fixes.
- 2012/11/24 - Version 1.0.

Contents:
- example*.m - Example scripts
- exampledataset.mat - Example dataset
- GLMdenoisedata.m - The main top-level function that you probably want to call
- GLMestimatemodel.m - Another top-level function that you may call
- GLMpredictresponses.m - Another top-level function that you may call
- README - The file you are reading
- setup.m - A simple script that downloads the example dataset
            and adds GLMdenoise to the MATLAB path
- utilities - A directory containing various utility functions

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Copyright (c) 2012, Kendrick Kay
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

Redistributions of source code must retain the above copyright notice, this
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