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https://github.com/sccn/eeglab

EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
https://github.com/sccn/eeglab

biosignal brain compiled ecg ecog eda eeg eeg-preprocessing eeg-signals-processing eeglab electrophysiology hrv ieeg matlab meg neurophysiology octave source-localization spectral-analysis

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EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD

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# What is EEGLAB?
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and Octave (command line only for Octave). This folder contains original Matlab functions from the EEGLAB (formerly ICA/EEG) Matlab toolbox, all released under the Gnu public license (see eeglablicence.txt). See the EEGLAB tutorial and reference paper (URLs given below) for more information.

# Installing/cloning
**Recommended:** Download the official EEGLAB release from https://sccn.ucsd.edu/eeglab/download.php

**Do not download a ZIP file directly from GIT as it will not contain EEGLAB submodules**. Instead clone the reposity while pulling EEGLAB sub-modules.

```
git clone --recurse-submodules https://github.com/sccn/eeglab.git
```

If you forgot to clone the submodule, go to the eeglab folder and type

```
git submodule update --init --recursive --remote
git pull --recurse-submodules
```

# Sub-directories:

- /functions - All distributed EEGLAB functions (admin, sigproc, pop, misc)
- /plugins - Directory to place all downloaded EEGLAB plug-ins. dipfit (1.0) is present by default
- /sample_data - Miscellaneous EEGLAB data using in tutorials and references
- /sample_locs - Miscellaneous standard channel location files (10-10, 10-20). See the EEGLAB web site http://sccn.ucsd.edu/eeglab/ for more.

# To use EEGLAB:

1. Start Matlab

2. Use Matlab to navigate to the folder containing EEGLAB

3. Type "eeglab" at the Matlab command prompt ">>" and press enter

3. Open the main EEGLAB tutorial page (http://sccn.ucsd.edu/wiki/EEGLAB_Wiki)

4. Please send feedback and suggestions to: [email protected]

# In publications, please reference:

Delorme, A., & Makeig, S. (2004). EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. Journal of neuroscience methods, 134(1), 9-21. (See article [here](http://sccn.ucsd.edu/eeglab/download/eeglab_jnm03.pdf))

# Compiled version of EEGLAB

If you experience problems, try running EEGLAB as administrator.

# Documentation:

EEGLAB documentation is available on the EEGLAB wiki (see http://sccn.ucsd.edu/wiki/EEGLAB_Wiki for more details).