Analysing MEG data with MNE-Python and its ecosystem
Автор: MEGIN
Загружено: 2025-10-15
Просмотров: 147
This webinar presented by Alexandre Gramfort will discuss, “MNE-Python is an academic software package for processing electrophysiological signals and in particular magnetoencephalographic (MEG). It provides a comprehensive solution for data visualisation and annotation, (automatic) data preprocessing, forward modeling (with boundary element models), distributed source imaging (MNE, dSPM), beamforming (LCMV, DICS), time–frequency analysis, non-parametric multivariate statistics and multivariate pattern analysis a.k.a. "decoding". In this masterclass, Alexandre Gramfort will give an overview on the software and its ecosystem (mne-bids, mne-bids-pipeline etc.) and will present a live analysis demo focussing on applications of machine learning applied to MEG.”
*The MEGIN Masterclasses content and speakers selected are only for information purposes and MEGIN does not endorse any applications or treatments mentioned.
**TRIUX™ neo is intended to non-invasively record brain activity, and when interpreted by trained physicians, to help localize these active areas. All other applications are scientific research in nature. Please contact MEGIN for further information.
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