Dear all,

There are still a few places available on our annual SPM course for MEG/EEG which will take place this year from Monday May 11 to Wednesday May 13 2015. 

Hosted by University College London, the course will be held at Queen Square, a very central location in London (UK).

The course will present instruction on the analysis of MEG and EEG data. The first two days will combine theoretical presentations with practical demonstrations of the different data analysis methods implemented in SPM. On the last day participants will have the opportunity to work on SPM tutorial data sets under the supervision of the course faculty. We also invite students to bring their own data for analysis.

The course is suitable for both beginners and more advanced users. The topics that will be covered range from pre-processing and statistical analysis to source localization and dynamic causal modelling. The program is listed below.

Registration is now open. We offer a reduced rate when attending both the MEG/EEG course and the fMRI course during the second half of the week. For full details of both courses see 'Statistical Parametric Mapping short courses' at  http://www.ucl.ac.uk/ion/courses-viewer where you can also register.

Available places are limited so please register as early as possible if you would like to attend!

Monday May 11th

9.00 - 9.30 Registration

9.30 - 9.45 SPM introduction and resources

Guillaume Flandin

9.45 - 10.30 What are we measuring with M/EEG?

Stefan Kiebel

10.30 - 11.15 Data pre-processing

Holly Rossiter

Coffee

11.45 - 12.30 Data pre-processing - demo

Deborah Talmi, Megumi Fukuda

12.30 - 13.15 General linear model and classical inference

Christophe Phillips

Lunch

14.15 - 15.00 Multiple comparisons problem and solutions

Gareth Barnes

15.00 - 15.45 Bayesian inference

Chris Mathys

Coffee

16.15 - 18.00 Tutorial on group M/EEG dataset analysis

Vladimir Litvak, Jason Taylor

Tuesday May 12th

9.30 - 10.15 M/EEG source analysis

Saskia Helbling

10.15 - 11.15 M/EEG source analysis - demo

Jose Lopez, Jason Taylor, Sofie Meyer

Coffee

11.45 - 12.30 The principles of DCM

Ryszard Auksztulewicz

12.30 - 13.15 DCM for evoked responses

Harriet Brown

Lunch

14.15 - 15.00 DCM for steady state responses

Rosalyn Moran

15.00 - 15.45 DCM for time-frequency responses

Bernadette van Wijk

15.45 - 16.30 DCM - demo

Andre Marreiros, Martin Dietz 

Coffee

17.00 - 17.45 Bayesian model selection and averaging

Will Penny

17.45 - 18.45 Clinic - Questions & Answers session

Karl Friston

19.00 onwards - Social Event

Wednesday May 13th

9.30 – 17.00