meg_study_dynamic_scales

Code of study on the relationship between 1/f and periodic brain dynamics (alpha-band oscillations).

organization of the repository

tracked files

./library

The modularized code that is used here and there. No need to install, assuming that you run your python interpreter from the root directory.

In a script, simply

import library as lib
from library.stats import compute_corr

./scripts

The actual scripts to achieve defined steps. Don't cd here, call run scripts/run_XXX.py from the root directory.

Please follow the following convention:

For computing stuff do: run_{step}_{aspect}_{subaspect}_{subsubaspect}.py

For plotting stuff do: run_step_aspect_subaspect_subsubaspect.py

For bash shell / config stuff do: make_{whatever}.py

Examples:

run_preprocessing_get-filtered-data.py run_preprocessing_compute-ica.py run_main_inverse_compute-1of.py plot_main_inverse_1of-grand-average.py ...

./scripts/config.py file

The config.py file has it. The variables and parameters, but also a command line parser.

./examples

playground, room for trying things

./bin

command line programs, mostly for parallelization

untracked files

./data

Here you have the data, as symbolic links. Please do it yourself.

./data/subjects

in data/subject you should have a link to the freesurfer dynacomp directory

./data/MEG

in data/MEG you should have a link to the MEG dynacomp directory

./results

The provenance tracking routines from The meeg_preprocessing package will save the labled output script-wise here. Will not be commited. It's local. Don't commit results, ok?

dependencies

You will need the following:

• current mne master branch
• The meeg_preprocessing package