mne.simulation.SourceSimulator¶

class mne.simulation.SourceSimulator(src, tstep=0.001, duration=None)[source]¶

Class to generate simulated Source Estimates.

Parameters

srcinstance of SourceSpaces: Source space.
tstepfloat: Time step between successive samples in data. Default is 0.001 sec.
durationfloat | None: Time interval during which the simulation takes place in seconds. If None, it is computed using existing events and waveform lengths.

Attributes

durationfloat: Duration of the simulation
n_timesint: Number of time samples in the simulation

Methods

`__hash__`(/)	Return hash(self).
`__iter__`()	Iterate over 1 second STCs.
`add_data`(label, waveform, events)	Add data to the simulation.
`get_stc`([start_sample, stop_sample])	Simulate a SourceEstimate from the provided data.
`get_stim_channel`([start_sample, stop_sample])	Get the stim channel from the provided data.

__iter__()[source]¶: Iterate over 1 second STCs.

add_data(label, waveform, events)[source]¶

Add data to the simulation.

Data should be added in the form of a triplet of Label (Where) - Waveform(s) (What) - Event(s) (When)

Parameters

labelinstance of Label: The label (as created for example by mne.read_label). If the label does not match any sources in the SourceEstimate, a ValueError is raised.
waveformarray, shape (n_times,) or (n_events, n_times) | list: The waveform(s) describing the activity on the label vertices. If list, it must have the same length as events.
eventsarray of int, shape (n_events, 3): Events associated to the waveform(s) to specify when the activity should occur.

Examples using add_data:

Simulate raw data using subject anatomy¶

Generate simulated source data¶

property duration¶: Duration of the simulation

get_stc(start_sample=0, stop_sample=None)[source]¶

Simulate a SourceEstimate from the provided data.

Returns a SourceEstimate object constructed according to the simulation parameters which should be added through function add_data. If both start_sample and stop_sample are not specified, the entire duration is used.

Parameters

start_sampleint: First sample in chunk. Default is 0.
stop_sampleint | None: The stop sample of the returned stc. This sample is not part of the output to follow slicing semantics. If None, then all samples past start_sample is returned.

Returns

stcSourceEstimate object: The generated source time courses.

Examples using get_stc:

Simulate raw data using subject anatomy¶

get_stim_channel(start_sample=0, stop_sample=None)[source]¶

Get the stim channel from the provided data.

Returns the stim channel data according to the simulation parameters which should be added through function add_data. If both start_sample and stop_sample are not specified, the entire duration is used.

Parameters

start_sampleint: First sample in chunk. Default is 0.
stop_sampleint | None: The stop sample of the returned stc. This sample is not part of the output to follow slicing semantics. If None, then all samples past start_sample is returned.

Returns