FieldTrip workshop Donostia
Where
BCBL, San Sebastian, Spain.
When
Monday May 13 - Wednesday May 15.
Who
Nicola Molinaro is the host and local organizer. Jan-Mathijs Schoffelen, Diego Lozano-Soldevilla and Lilla Magyari (Donders, Nijmegen, NL) are the main tutors.
Installing FieldTrip and Tutorial preparation
For the hands-on sessions you have to start MATLAB. To ensure that everything runs smooth, we will work with a clean and well-tested version of fieldtrip that is distributed on a USB stick, rather than the version you might already have installed. Furthermore, the tutorial data does not have to be downloaded but will also be distributed on the USB stick.
- Copy the contents from the USB stick to your computer
- Unzip the fieldtrip-xxxxxxxx.zip file.
- Unzip the “data.zip” file, you should place the contents in the same directory, e.g. in a newly created directory called 'toolkit'.
After copying all files to your computer and unzipping then, you start MATLAB. To ensure that the right version of fieldtrip is used, and not another version (such as the one included in SPM or EEGLAB), you type in the MATLAB command window
restoredefaultpath cd path_to_directory/fieldtrip-xxxxxxxx addpath(pwd) ft_defaults
Please do NOT add fieldtrip with all subdirectories, subdirectories will be added automatically when needed, but only when needed.
The restoredefaultpath command clears your path, keeping only the official MATLAB toolboxes. The addpath(pwd) statement adds the present working directory, i.e. the directory containing the fieldtrip main funcctions. The ft_defaults command ensures that all required subdirectories are added to the path.
If you get the error “can't find the command ft_defaults” you should check the present working directory.
After installing fieldtrip to your path, you change into the data directory
cd path_to_directory/data
Program
Monday
- morning
- 1h intro lecture
- afternoon
- 1h spectral analysis lecture
- evening
- food and drinks
Tuesday
- morning
- 1h beamforming lecture
- afternoon
- 1h nonparametric statistics lecture
- evening
- food and drinks
Wednesday
- morning
- playground (working on own data)