frites.simulations.sim_local_cc_ms#

frites.simulations.sim_local_cc_ms(n_subjects, random_state=None, **kwargs)[source]#

Multi-subjects simulations for computing local MI (CC).

This function can be used for simulating local representations of mutual information between two continuous variables (CC) across multiple subjects.

Parameters
n_subjectspython:int

Number of subjects

kwargspython:dict | {}

Additional arguments are send to the function sim_local_cc_ss()

Returns
xpython:list

List length n_subjects composed of data arrays each one with a shape of (n_epochs, n_channels, n_times)

ypython:list

List of length n_subjects composed of regressor arrays each one with a shape of (n_epochs)

roipython:list

List of length n_subjects composed of roi arrays each one with a shape of (n_roi)

timesnumpy:array_like

Time vector

Examples using frites.simulations.sim_local_cc_ms#

Estimate the empirical confidence interval

Estimate the empirical confidence interval