MNE-CPP is actively developed in collaboration with our international partners, feel free to take a look at our partners and code contributors pages. MNE-CPP is an open source project and can be used under the terms of the open source BSD–license (3 clause). The Wiki offers a Getting Started section as well as Tutorials on how to use the MNE-CPP API. If you are interested in contributing to MNE-CPP or use it for your own applications, please consult the How to contribute Wiki entry for more information.
|Wiki||Provides a getting started guide, introductive/advanced tutorials, contribution guidelines, etc.||http://wiki.mne-cpp.org|
|Jira and Confluence||Project management tools (please contact us for a login).||https://mne-cpp.atlassian.net/home|
|Github||All code is freely accessible via Github.||https://github.com/mne-tools/mne-cpp|
|Forum||Share your goals, problems and solutions.||http://forum.mne-cpp.org|
|API Documentation||A Doxygen documentation of MNE-CPP classes, functions, etc.||http://doc.mne-cpp.org|
ID Duration Description
MNE-CE 2017 - 2022 Throughout the MNE CE research project (1U01EB023820) the main goal is to create a device independent and standardized software for acquiring, controlling and processing electrophysiological data in real-time. The MNE CE project has a total duration of five years with another five years of possible extension, sponsored by the National Insitutes of Health (NIH).
OCE 2018 - 2021 The proposed project (397686322) with the title “Online Neuronal Connectivity Estimation and Neurofeedback with Transcranial Magnetic Stimulation” will establish new real-time methods to analyze and process MEG/EEG data for subsequent cortical stimulation scenarios. The overarching objective is to develop real-time computational tools for advancing our understanding of electrophysiological functions of neuronal networks and cortical stimulation in the human brain in health and disease. During the project methods for estimating functional connectivity in real-time MEG/EEG scenarios will be established. Furthermore, ways to integrate Transcranial Magnetic Stimulation (TMS) into a real-time scenario will be investigated. The work will be funded by the Deutsche Forschungsgemeinschaft (DFG) and the Wissenschaftsfonds(FWF).
OSL 2013 - 2015 Online localization of neuronal sources in the human brain from single-trial magnetoencephalography (MEG) recently got into focus of neuroscience to clarify brain functionality, identify brain states and to improve real-time applications such as brain-computer interface (BCI) systems. The project (Ba 4858/1-1) with the title "Online MEG Source Estimation using High-Performance GPU Computing" focused on developing and establishing new online source localization techniques. The work was funded by the Deutsche Forschungsgemeinschaft (DFG).