- mne.io.read_raw_eeglab(input_fname, eog=(), preload=False, uint16_codec=None, montage_units='mm', verbose=None)[source]#
Read an EEGLAB .set file.
Path to the
.setfile. If the data is stored in a separate
.fdtfile, it is expected to be in the same folder as the
Names or indices of channels that should be designated EOG channels. If ‘auto’, the channel names containing
EYEare used. Defaults to empty tuple.
Preload data into memory for data manipulation and faster indexing. If True, the data will be preloaded into memory (fast, requires large amount of memory). If preload is a string, preload is the file name of a memory-mapped file which is used to store the data on the hard drive (slower, requires less memory). Note that
preload=Falsewill be effective only if the data is stored in a separate binary file.
If your set file contains non-ascii characters, sometimes reading it may fail and give rise to error message stating that “buffer is too small”.
uint16_codecallows to specify what codec (for example: ‘latin1’ or ‘utf-8’) should be used when reading character arrays and can therefore help you solve this problem.
Units that channel positions are represented in. Defaults to “mm” (millimeters), but can be any prefix + “m” combination (including just “m” for meters).
New in version 1.3.
Control verbosity of the logging output. If
None, use the default verbosity level. See the logging documentation and
mne.verbose()for details. Should only be passed as a keyword argument.
- rawinstance of RawEEGLAB
A Raw object containing EEGLAB .set data. See
mne.io.Rawfor documentation of attributes and methods.
Documentation of attributes and methods of RawEEGLAB.
New in version 0.11.0.
Importing data from EEG devices
Plot single trial activity, grouped by ROI and sorted by RT