MNE_Python_Workshop2014102014-07-23 11:49:00OlafHauk92014-05-12 11:00:54OlafHauk82014-05-07 17:02:18OlafHauk72014-05-06 13:34:04OlafHauk62014-05-06 13:32:48OlafHauk52014-05-06 13:32:24OlafHauk42014-05-06 13:31:45OlafHauk32014-05-06 13:08:48OlafHauk22014-05-06 13:07:09OlafHauk12014-05-06 13:05:33OlafHaukThe materials of this course are available here. Thursday May 15Location: 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 16Location: 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?