MNE_Python_Workshop2014 - Methods
location: MNE_Python_Workshop2014

The materials of this course are available 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


● 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


● Where is MNE going?

None: MNE_Python_Workshop2014 (last edited 2014-07-23 11:49:00 by OlafHauk)