eelbrain.pipeline.RawFilter

class eelbrain.pipeline.RawFilter(source, l_freq=None, h_freq=None, cache=True, n_jobs=1, **kwargs)

Filter raw pipe

Parameters

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

  • l_freq (scalar | None) – Low cut-off frequency in Hz.

  • h_freq (scalar | None) – High cut-off frequency in Hz.

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

  • n_jobs (Optional[Union[str, int]]) – Parameter for mne.io.Raw.filter(); Values other than 1 are slower in most cases due to added overhead except for very large files.

  • ... – mne.io.Raw.filter() parameters.

See also

MneExperiment.raw

Methods

cache(subject, recording)

Make sure the cache is up to date

filter_ndvar(ndvar, **kwargs)

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