14 and 15 June 2018/ Practical course: Experiment design with OpenSesame and EEG/MEG data analysis with Python

Time:            14+15 June 2018, resp. Thursday and Friday
(starting at 9:30 o’clock sharp and ending at 18:00 h both days)
Place:            Location:   moved (from Leiden) to Universiteit van Amsterdam and
                        Roeterseiland campus,  Souterrain (S) of Psychology Building (G), G S.09
Teachers:    Sebastiaan Mathot and Jona Sassenhagen
Capacity:     20 participants
Credit:          1 EC

Registration Epos and non- Eposmembers: by clicking on Registration form and
Nonmembers should pay 250 euro pp at least two weeks before the course, using a link that will be made available here: payment

Summary: Python is becoming a powerful and widely used high-level programming language. In this course we introduce and practice two applications of Python:

On day 1 we start with a morning session to bring the Python skills to level and in the afternoon session we design experiments with OpenSesame. OpenSesame is a program for developing psychological and neuroscientific experiments. In the afternoon workshop, you will learn how to create a simple yet complete experiment from scratch. In OpenSesame you can build sophisticated experiments without programming. However, as you will see, adding some Python code to your experiment is very powerful!

On day 2 we apply Python tools to process EEG or MEG data (package MNE). We start with basic EEG/MEG processing steps such as preprocessing and data cleaning. Extensions towards MVPA and time-frequency analysis can explained based on the preferences of the attendants.

No prior knowledge of Python is required for this course, but it would help to make a start already. If you do not have much EEG experience, Steve Luck’s book “An introduction to the event-related potential technique” is recommended.