[FieldTrip] SPM M/EEG Course May/June 2023

[Mansoureh Fahimi]

Dear colleagues,

We are pleased to announce our biannual *SPM for MEG/EEG* this year which
is hosted by University College London and will take place from *Tuesday,
May 30 to Friday, 2nd of June, 2023.* The course will be held in person at
Queen Square, London, UK (exact details to be announced). This is the first
in-person edition of the course after the COVID-19 pandemic, and we will
aim to organize one in-person event per year from now on.

The course will present instructions on the analysis of MEG and EEG data.
The first three 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 or on their own data under the supervision of the course
faculty. A social event for all participants will also be organized on
Wednesday evening.

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.

Registration is now open. For full details see D07 Statistical Parametric
Mapping For MEG/EEG 2023 | UCL Online Store
<https://urldefense.com/v3/__https://onlinestore.ucl.ac.uk/conferences-and-events/faculty-of-brain-sciences-c07/ucl-institute-of-neurology-d07/d07-statistical-parametric-mapping-for-megeeg-2023__;!!HJOPV4FYYWzcc1jazlU!413E9cTeEKPfXVwH3Qjwp6KYlP2TIOX1QXYk8BZhzNae68BG73b79cUwH3DT7Im5ZIkNtq1pd6OMSSJbLtwgFZip2D6BGsE$ >
where
you can also register. Registration includes lunch and refreshments, and
the social event. Wearing a face mask is not mandatory, but will be
provided for those who want to wear one.

Available places are limited so please register as early as possible if you
would like to attend! The registration fee is £400 for students and £600
for standard participants.

We are looking forward to meeting you in person,

The SPM M/EEG course team
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