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_fname
str
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.
- input_fname
- Returns:
- rawinstance of RawEEGLAB
A Raw object containing EEGLAB .set data.
See also
mne.io.Raw
Documentation of attribute and methods.
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