frites.simulations.sim_local_ccd_ms#
- frites.simulations.sim_local_ccd_ms(n_subjects, **kwargs)[source]#
Multi-subjects simulations for computing local MI (CCD).
This function can be used for simulating local representations of mutual information between two continuous variables conditioned by a third discret one (CCD) across multiple subjects.
- Parameters
- n_subjects
python:int Number of subjects
- kwargs
python:dict| {} Additional arguments are send to the function
sim_local_ccd_ss()
- n_subjects
- Returns
- x
python:list List length n_subjects composed of data arrays each one with a shape of (n_epochs, n_channels, n_times)
- y
python:list List of length n_subjects composed of regressor arrays each one with a shape of (n_epochs)
- znumpy:array_like
Condition array of shape (n_epochs,)
- roi
python:list List of length n_subjects composed of roi arrays each one with a shape of (n_roi)
- timesnumpy:array_like
Time vector
- x