{"repo":"ucdavis/erplab","free":true,"listed":false,"github":"https://github.com/ucdavis/erplab","clone":"git clone https://github.com/ucdavis/erplab.git","description":"ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, 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.","language":"MATLAB","stars":308,"topics":["eeglab","erp","eeg-data","csd","erp-data","matlab","eeglab-toolbox","erplab","event-related-potentials","electroencephalography"],"license":"GPL-3.0","category":"dashboards-admin","readme_excerpt":"Note: We recommend against using Matlab 2025A or later with ERPLAB at this time. It is very buggy! ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. We have two versions: ERPLAB Studio is a standalone package that provides an intuitive and easy-to-use graphical user interface. ERPLAB Classic is a plugin that runs inside the EEGLAB graphical user interface. Click the Wiki icon at the top of the page for documentation, tutorials, and FAQs. To ask questions, subscribe to the ERPLAB email list (https://erpinfo.org/erplab-email-list). Bug reports can be submitted via GitHub or by sending an email to erplab-bugreports@ucdavis.edu. ERPLAB v13.00 This download contains both ERPLAB Studio (our standalone Matlab program) and ERPLAB Classic (an EEGLAB plugin). If you are new to ERPLAB, we strongly recommend that you go through the ERPLAB Studio Tutorial or ERPLAB Classic Tutorial before trying to analyze your own data. If you are new to ERPLAB Studio but are already familiar with ERPLAB Classic, you can rapidly learn to use ERPLAB Studio by reading our Transition Guide. Click here for installation instructions. Click here for information about required Matlab toolboxes and compatibility with different versions of Matlab, EEGLAB, Windows, MacOS, and Linux. We encourage most users to use this ","default_branch":null,"files":null,"tree":[],"storefront":"/r/ucdavis","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/ucdavis/erplab/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}