Head Title

Analysing MEG data with MNE-Python and its ecosystem

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.

Register to watch this free webinar on-demand. A link to watch the recording will then be emailed to you shortly after registration.


*MEGIN does not endorse any applications or treatments mentioned at this event. TRIUX™ neo is intended to non-invasively locate regions of epileptic activity within the brain and, in conjunction with other diagnostic data, in neurosurgical planning. All other applications are research in nature.