The materials of this course are available [[http://perso.telecom-paristech.fr/~gramfort/mne/MRC/|here.]]

= Thursday May 15 =
Location: West Wing Seminar Room at the MRC Cognition and Brain Sciences Unit

'''9:00-9:30: Introduction and MNE overview'''

●      Introduction: History, Community, On line ressources

●      A quick tour of the features offered by the MNE software

●      Typical data workflow

'''9:30-10:30: Hands-on training '''

●      Organizing your data

●      Reviewing raw data

●      Preprocessing: filtering, artifact detection and rejection

'''10:30-11:00: Coffee break'''

'''11:00-12:30: Hands-on training'''

● Intro to scripting with MNE-Python

●      Defining epochs and averaging

● Contrasting conditions

'''12:30-13:30: Lunch break '''(food not provided)

'''13:30-15:00: Hands-on training'''

●      Subject anatomical pipeline with FreeSurfer (discover Freeview)

●      Co-registration of MEG/MRI

● Forward modelling

'''15:00-15:30: Break (no tea/coffee provided)'''

'''15:30-17:00: Hands-on training'''

●      Working with your own dataat sensor level

'''Evening:'''

● Optional trip to the pub

= Friday May 16 =
Location: West Wing Seminar Room at the MRC Cognition and Brain Sciences Unit

'''9:00-10:30: Hands on '''

● Source localization: dSPM and LCMV/DICS beamformer

● Morphing source estimates to a template brain

●      Defining anatomical and functional ROIs/Labels

●      Extraction of single trial estimates

'''10:30-11:00: Coffee break'''

'''11:00-11:45: Hands on'''

●      Decoding / MVPA / Classification with SVM

'''11:45-12:30:''' Demos

● Parametric and non-parametric statistics

●      Independant Component Analysis (ICA)

●      Functional connectivity

●      Non-linear inverse solvers (MxNE)

'''12:30-13:30 Lunch break''' (food not provided)

'''13:30-14:00: Contributing to MNE '''

'''14:00-16:30: Working with your own data'''

'''16:30-17:00: Course wrap up '''

'''●''' Debriefing

●      Where is MNE going?