mne.io.read_raw_eeglab#
- mne.io.read_raw_eeglab(input_fname, eog=(), preload=False, uint16_codec=None, montage_units='mm', verbose=None)[source]#
Read an EEGLAB .set file.
- Parameters:
- input_fnamepath-like
Path to the
.set
file. If the data is stored in a separate.fdt
file, it is expected to be in the same folder as the.set
file.- eog
list
|tuple
|'auto'
Names or indices of channels that should be designated EOG channels. If ‘auto’, the channel names containing
EOG
orEYE
are used. Defaults to empty tuple.- preload
bool
orstr
(defaultFalse
) 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=False
will be effective only if the data is stored in a separate binary file.- uint16_codec
str
|None
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_codec
allows 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.- montage_units
str
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.
- verbose
bool
|str
|int
|None
Control verbosity of the logging output. If
None
, use the default verbosity level. See the logging documentation andmne.verbose()
for details. Should only be passed as a keyword argument.
- Returns:
- rawinstance of RawEEGLAB
A Raw object containing EEGLAB .set data. See
mne.io.Raw
for documentation of attributes and methods.
See also
mne.io.Raw
Documentation of attributes and methods of RawEEGLAB.
Notes
New in version 0.11.0.
Examples using mne.io.read_raw_eeglab
#
Importing data from EEG devices
Plot single trial activity, grouped by ROI and sorted by RT