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code/plugins/update_plugins.sh

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plugins/ARfitStudio/index.md

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title: ARfitStudio
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long_title: ARfitStudio
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parent: Plugins
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nav_order: 7
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---
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To view the plugin source code, please visit the plugin's [GitHub repository](https://github.com/sccn/ARfitStudio).
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What is ARfitStudio
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-------------------
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plugins/EEG-BIDS/index.md

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title: EEG-BIDS
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long_title: EEG-BIDS
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parent: Plugins
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nav_order: 9
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---
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To view the plugin source code, please visit the plugin's [GitHub repository](https://github.com/sccn/EEG-BIDS).
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![EEG-BIDS](https://github.com/sccn/EEG-BIDS/assets/1872705/47675a55-6573-47d7-abec-48e364d5ad8a)
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# EEG-BIDS

plugins/ICLabel/index.md

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title: ICLabel
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long_title: ICLabel
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parent: Plugins
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nav_order: 13
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---
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To view the plugin source code, please visit the plugin's [GitHub repository](https://github.com/sccn/ICLabel).
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# ICLabel
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An automatic EEG independent component classifer plugin for EEGLAB.
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For more information, see [the ICLabel website tutorial](https://labeling.ucsd.edu/tutorial/about).

plugins/NFT/index.md

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parent: Plugins
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categories: plugins
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has_children: true
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nav_order: 3
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---
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To view the plugin source code, please visit the plugin's [GitHub repository](https://github.com/sccn/NFT).
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### Open Source Matlab Toolbox for Neuroelectromagnetic Forward Head Modeling
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![right](NFTsmall.jpg "wikilink")

plugins/NIMA/index.md

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title: NIMA
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long_title: NIMA
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parent: Plugins
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nav_order: 26
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---
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To view the plugin source code, please visit the plugin's [GitHub repository](https://github.com/sccn/NIMA).
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NIMA stands for Nima's Images from Measure-projection Analysis. Measure
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Projection Toolbox (MPT) is a published method (Bigdely-Shamlo et al.,
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2013), and for his wiki page see [this

plugins/PACT/index.md

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parent: Plugins
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categories: plugins
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has_children: true
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nav_order: 4
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---
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To view the plugin source code, please visit the plugin's [GitHub repository](https://github.com/sccn/PACT).
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What is PACT?
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-------------
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plugins/PACTools/index.md

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title: PACTools
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long_title: PACTools
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parent: Plugins
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nav_order: 17
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---
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To view the plugin source code, please visit the plugin's [GitHub repository](https://github.com/sccn/PACTools).
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[![GitHub stars](https://img.shields.io/github/stars/sccn/PACTools?color=%235eeb34&logo=GithUb&logoColor=%23fafafa)](https://github.com/sccn/PACTools/stargazers)
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[![GitHub forks](https://img.shields.io/github/forks/sccn/PACTools?color=%23b3d9f5&logo=GitHub)](https://github.com/sccn/PACTools/network)
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[![GitHub issues](https://img.shields.io/github/issues/sccn/PACTools?color=%23fa251e&logo=GitHub)](https://github.com/sccn/PACTools/issues)

plugins/PowPowCAT/index.md

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title: PowPowCAT
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long_title: PowPowCAT
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parent: Plugins
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nav_order: 16
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---
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To view the plugin source code, please visit the plugin's [GitHub repository](https://github.com/sccn/PowPowCAT).
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Presentation slides (Click the cat to download)
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=================================================
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<a href="images/PowPowCAT_31stEEGLABWorkshop.pdf" class="image fit"><img src="images/PowPowCAT_logo.png" alt=""></a>

plugins/SIFT/Chapter-7.-Statistics-in-SIFT.md

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Another current method to compute statistics is to export the connectivity matrices stored in the CAT substructure of the EEG dataset. On the MATLAB command line type:
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```matlab
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```
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>> EEG(1).CAT.Conn
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ans =

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