We are happy to provide comprehensive online tutorials and support through our forum but there is nothing better than a course to make your learning curve steeper. However, you may be the first one in your institution to consider using Brainstorm for your research.
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The best way to learn how to use Brainstorm, like any other academic software, is to benefit from local experts. See our reference page for a list of published studies featuring Brainstorm at work. Since the project started by the end of the 1990's, our server has registered more than 31,000 accounts.
To get an overview of the interface, you can watch this introduction video. Finally, although Brainstorm is developed with Matlab (and Java), it does not require users to own a Matlab license: an executable, platform-independent (Windows, MacOS, Linux) version is made available in the downloadable package. We are also putting the emphasis on practical aspects of data analysis (e.g., with scripting for batch analysis and intuitive design of analysis pipelines) to promote reproducibility and productivity in MEG/EEG research. For physicians and researchers, the main advantage of Brainstorm is its rich and intuitive graphic interface, which does not require any programming knowledge.
Our objective is to share a comprehensive set of user-friendly tools with the scientific community using MEG/EEG as an experimental technique. MEG, EEG, fNIRS, ECoG, depth electrodes and multiunit electrophysiology. Software updates: What's new | Facebook | Twitter | GitHubīrainstorm is a collaborative, open-source application dedicated to the analysis of brain recordings: Problems with automatic updates: Read this page Follow courses: CuttingEEG / Aix-en-Provence: October 4th - Program
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