eelbrain.pipeline.RawApplyICA

class eelbrain.pipeline.RawApplyICA(source, ica, cache=False)

Apply ICA estimated in a RawICA pipe

Parameters

  • source (str) – Name of the raw pipe to use for input data.

  • ica (str) – Name of the RawICA pipe from which to load the ICA components.

  • cache (bool) – Cache the resulting raw files (default False).

See also

MneExperiment.raw

Notes

This pipe inherits bad channels from the ICA.

Examples

Estimate ICA components with 1-40 Hz band-pass filter and apply the ICA to data that is high pass filtered at 0.1 Hz:

class Experiment(MneExperiment):

    raw = {
        '1-40': RawFilter('raw', 1, 40),
        'ica': RawICA('1-40', 'session', 'extended-infomax', n_components=0.99),
        '0.1-40': RawFilter('raw', 0.1, 40),
        '0.1-40-ica': RawApplyICA('0.1-40', 'ica'),
    }

Methods

as_dict()

cache(subject, recording)

Make sure the cache is up to date

get_connectivity(data)

get_sysname(info, subject, data)

load(subject, recording[, add_bads, …])

load_bad_channels(subject, recording)

make_bad_channels(subject, recording, …)

make_bad_channels_auto(*args, **kwargs)

mtime(subject, recording[, bad_chs])

Modification time of anything influencing the output of load