Dear all, We are pleased to announce that our annual SPM course for MEG/EEG will take place this year from Monday May 8 to Wednesday May 10 2017. 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. For full details see http://www.fil.ion.ucl.ac.uk/spm/course/london/ where you can also register. Available places are limited so please register as early as possible if you would like to attend! ---------------------- Monday May 8th (33 Queen square, basement) 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? Saskia Heibling 10.30 - 11.15 Data pre-processing Hayriye Cagnan Coffee 11.45 - 12.30 Data pre-processing – demo Sofie Meyer, Misun Kim 12.30 - 13.15 General linear model and classical inference Christophe Phillips Lunch 14.15 - 15.00 Multiple comparisons problem and solutions Guillaume Flandin 15.00 - 15.45 Bayesian inference Christophe Mathys Coffee 16.15 - 17.45 Group M/EEG dataset analysis - demo Jason Taylor, Martin Dietz 17.45 - 18.30 Advanced applications of the GLM Ashwani Jha, Bernadette van Wijk Tuesday May 9th (33 Queen square, basement) 9.30 - 10.15 M/EEG source analysis Gareth Barnes 10.15 - 11.15 M/EEG source analysis – demo Jose Lopez, Leonardo Duque Coffee 11.45 - 12.30 The principles of dynamic causal modelling Bernadette van Wijk 12.30 - 13.15 DCM for evoked responses Ryszard Auksztulewicz Lunch 14.15 - 15.00 DCM for steady state responses Rosalyn Moran 15.00 - 15.45 DCM - demo Richard Rosch, Tim West Coffee 16.15 - 17.00 Bayesian model selection and averaging Peter Zeidman 17.00 - 18.30 Clinic - questions & answers Karl Friston 19.00 - ... Social Event Wednesday May 10th 9.30 - 17.00 Practical hands-on session in UCL computer class rooms. Participants can either work on SPM tutorial datasets or on their own data with the help of the faculty. There will also be an opportunity to ask questions in small tutorial groups for further discussions on the topics of the lectures.