








News Event! (Sunday Oct 6, 2024)
RAVE has been selected to exhibit at Building Tools & Tech for an Innovative Future: A BRAIN Initiative Alliance Social during the Society for Neuroscience (2024)
Date: Sunday, October 6, 2024
Time: 6:30-9:00 p.m. CT
Location: Grant Park, Hyatt Regency McCormick Place, Chicago, IL
Background photo: RAVE highlighted at
CNS 2024
Power Explorer
Interactive RAVE module for exploratory time-frequency analysis and visualization
YAEL: Your Advanced Electrode Localization
RAVE module for automatic localizing and visualizing electrodes in 3D brain
RAVE is free and open-source software for the analysis of intracranial electroencephalogram (iEEG) data, including data collected using strips and grids (electrocorticography, ECoG) and depth electrodes (stereotactic EEG). A sister package to RAVE is the YAEL electrode localization toolkit.
RAVE is easy to use and creates publication-ready figures with absolutely no programming. RAVE can import standard data formats, including Matlab and EDF, and is compatible with BIDS-iEEG. It runs on laptops, lab servers, or in the cloud. Since all user interactions take place through a web browser, the user experience is identical on Mac, Windows and Linux. Data from RAVE can be exported for analysis using other software (click here for a list of iEEG analysis tools). Conversely, outside results can be imported and visualized using RAVE’s visualization engine. RAVE provides templates to make it easy to create GUI-based analyses using the streamlined application programming interface.
Join our growing RAVE-iEEG community on Slack . E-mail slack@rave.wiki for an invitation.
RAVE has been developed since 2017 with funding provided by NIH R01MH133717
, U01NS113339
, and 1R24MH117529
. If you use RAVE for a publication, please cite:
Magnotti JF, Wang Z, Beauchamp MS. RAVE: comprehensive open-source software for reproducible analysis and visualization of intracranial EEG data. NeuroImage (2020) 223:117341. [Click here for the journal full text] [Click here for the PDF] [Click here for the preprint].
If you use YAEL for electrode localization, please cite:
Wang Z, Magnotti JF, Zhang X, Beauchamp MS. YAEL: Your Advanced Electrode Localizer. Eneuro. 2023 Oct 1;10(10). [Click here for the journal full text] [Click here for the PDF] [Click here for the preprint].
Please check our full installation guide here.
Send us your (p)reprint and we will add it to the list!