diff --git a/README.md b/README.md index d0cf5930..1a017819 100644 --- a/README.md +++ b/README.md @@ -1,31 +1,30 @@ - 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

- +

-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). @@ -34,16 +33,18 @@ 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. @@ -51,8 +52,19 @@ ERPLAB should work with most modern OSs, Matlab versions, and EEGLAB releases. L

- ## 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: