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Release Notes V9.0 (without download link)
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ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with [EEGLAB Toolbox](http://sccn.ucsd.edu/eeglab/), extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. A graphical user interface makes it easy for beginners to learn, and Matlab scripting provides enormous power for intermediate and advanced users.

## ERPLAB v8.30
## ERPLAB v9.00

<p align="center" >
<a href="https://github.com/lucklab/erplab/releases/download/8.30/erplab8.30.zip"><img src="https://cloud.githubusercontent.com/assets/8988119/8532773/873b2af0-23e5-11e5-9869-c900726713a2.jpg">
<a href=""><img src="https://cloud.githubusercontent.com/assets/8988119/8532773/873b2af0-23e5-11e5-9869-c900726713a2.jpg">
<br/>

<img src="https://cloud.githubusercontent.com/assets/5808953/8663301/1ff9a26a-297e-11e5-9e15-a7085569058f.png" width=300px >
</a>
</p>

To install ERPLAB v8.30, download the zip file (linked above), unzip and place the folder in the 'plugins' folder of your existing [EEGLAB](https://sccn.ucsd.edu/eeglab/download.php) installation (e.g. `/Users/Steve/Documents/MATLAB/eeglab2019_1/plugins/erplab/`). More [installation help can be found here](https://github.com/lucklab/erplab/wiki/Installation).

To install ERPLAB v9.00, download the zip file (linked above), unzip and place the folder in the 'plugins' folder of your existing [EEGLAB](https://sccn.ucsd.edu/eeglab/download.php) installation (e.g. `/Users/Steve/Documents/MATLAB/eeglab2019_1/plugins/erplab/`). More [installation help can be found here](https://github.com/lucklab/erplab/wiki/Installation).

To run ERPLAB, ensure that the correct EEGLAB folder is in your current Matlab path, and run `eeglab` as a command from the Matlab Command Window. [Find our tutorial here.](https://github.com/lucklab/erplab/wiki/Tutorial)

We encourage most users to use this latest major version.

---

---
## ERPLAB compatibility

We anticipate that ERPLAB will work with most recent OSs, Matlab versions and EEGLAB versions.

- The Matlab Signal Processing Toolbox is required
- [EEGLAB v12 or later](https://sccn.ucsd.edu/eeglab/download.php) is recommended.
- A screen resolution with height of more than 720 pixels is recommend.
- [EEGLAB v2021 or later](https://sccn.ucsd.edu/eeglab/download.php) is recommended.

Find [more ERPLAB installation help here](http://erpinfo.org/erplab).

Expand All @@ -34,25 +33,38 @@ Find [more ERPLAB installation help here](http://erpinfo.org/erplab).

Here is a list of some confirmed-working environments for ERPLAB.

**ERPLAB v8.0+ works with...**
**ERPLAB v9.0+ works with...**
| **OS** | **Matlab** | **EEGLAB** | Working? |
| --- | --- | --- | --- |
| Mac OS 10.13.5 'High Sierra' | Matlab R2015a | EEGLAB v14.1.2 ||
| Mac OS 10.13.5 'High Sierra' | Matlab R2018a | EEGLAB v14.1.2 | [✓ with Matlab update](https://www.mathworks.com/downloads/web_downloads/download_update?release=R2018a&s_tid=ebrg_R2018a_2_1757132&s_tid=mwa_osa_a) |
| Mac OS 10.15.7 'Catalina' | Matlab R2020b | EEGLAB v2021.1 ||
| Mac OS 10.15 'Catalina' | Matlab R2016a | EEGLAB v2019_1 ||
| Windows 7 | Matlab R2014a | EEGLAB v13.5.4b ||
| Mac OS 10.13.5 'High Sierra' | Matlab R2018a | EEGLAB v14.1.2 | [✓ with Matlab update]
(https://www.mathworks.com/downloads/web_downloads/download_update?release=R2018a&s_tid=ebrg_R2018a_2_1757132&s_tid=mwa_osa_a) |
| Mac OS 10.13.5 'High Sierra' | Matlab R2015a | EEGLAB v14.1.2 ||
| Windows 10 | Matlab R2020b | EEGLAB v2021.1 ||
| Windows 10 | Matlab R2015a | EEGLAB v13.5.4b ||
| Windows 10 | Matlab R2016a | EEGLAB v2019_1 ||
| Ubuntu 14.04 LTS | Matlab R2014a | EEGLAB v13.5.4b ||
| Ubuntu 18.04 LTS | Matlab R2019a | EEGLAB v2020 ||
| Ubuntu 18.04 LTS | Matlab R2019a | EEGLAB v2019_1 ||

ERPLAB should work with most modern OSs, Matlab versions, and EEGLAB releases. Let us know if you see any incompatibility.

<br/>
<br/>


## Release Notes
### ERPLAB v9.00 Release Notes
Note: ERPLAB v9.00 is the recommended version for use with best practices in ERP data processing and analyses as outlined in Dr. Steven J Luck's new Applied Event-Related Potential Data Analysis e-book [here](https://socialsci.libretexts.org/Bookshelves/Psychology/Book%3A_Applied_Event-Related_Potential_Data_Analysis_(Luck)).

_Now includes:_
Ability to low-pass filter prior to marking EEG segments with all artifact detection routines (data is not saved with the filter).

Ability to calculate Data Quality measures (e.g. analytic SME) on multiple binned and epoched EEGset files prior to creating ERPs.
-More information about the SME can be found [here](https://github.com/lucklab/erplab/wiki/ERPLAB-Data-Quality-Metrics).
-See Applied Event-Related Potential Data Analysis e-book [here](https://socialsci.libretexts.org/Bookshelves/Psychology/Book%3A_Applied_Event-Related_Potential_Data_Analysis_(Luck)) for best-practices on this approach.

Various fixes to the GUI layouts for many routines (e.g. "Delete Time Segments" for EEG processing).

### ERPLAB v8.30 Release Notes
Now includes:

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