supereeg.
simulate_model_bos
Simulate brain object
Number of time samples
A location by coordinate (x,y,z) matrix of simulated electrode locations
Number of subsampled electrode location to create each brain object
The covariance structure of the data.
If ‘eye’, the covariance will be the identity matrix. If ‘toeplitz’, the covariance will be a toeplitz matrix. If ‘random’, uses a random semidefinite matrix with a set random seed. If ‘distance’calculates the euclidean distance between each electrode.
If ‘eye’, the covariance will be the identity matrix.
If ‘toeplitz’, the covariance will be a toeplitz matrix.
If ‘random’, uses a random semidefinite matrix with a set random seed.
If ‘distance’calculates the euclidean distance between each electrode.
You can also pass a custom covariance matrix by simply passing numpy array that is n_elecs by n_elecs
Sample rate (Hz)
Sesssions
Meta info
Noise added to simulation
Default False. If True, set random seed to 123. If int, set random seed to value.
Instance of Brain data object containing simulated subject data and locations