This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the user guide for the big picture.
- nilearn.datasets.fetch_localizer_calculation_task(n_subjects=1, data_dir=None, url=None, verbose=1, legacy_format=True)[source]#
Fetch calculation task contrast maps from the localizer.
- n_subjectsint, optional
The number of subjects to load. If None is given, all 94 subjects are used. Default=1.
Path where data should be downloaded. By default, files are downloaded in home directory.
URL of file to download. Override download URL. Used for test only (or if you setup a mirror of the data). Default=None.
Verbosity level (0 means no message). Default=1.
If set to
True, the fetcher will return recarrays. Otherwise, it will return pandas dataframes. Default=True.
Dictionary-like object, the interest attributes are : ‘cmaps’: string list, giving paths to nifti contrast maps
This function is only a caller for the fetch_localizer_contrasts in order to simplify examples reading and understanding. The ‘calculation (auditory and visual cue)’ contrast is used.
Statistical testing of a second-level analysis
Massively univariate analysis of a calculation task from the Localizer dataset