Note

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.

7.2.14. nilearn.datasets.fetch_haxby

nilearn.datasets.fetch_haxby(data_dir=None, n_subjects=None, subjects=(2, ), fetch_stimuli=False, url=None, resume=True, verbose=1)

Download and loads complete haxby dataset

Parameters:

data_dir: string, optional

Path of the data directory. Used to force data storage in a specified location. Default: None

n_subjects: int, optional

Number of subjects, from 1 to 6.

NOTE: n_subjects is deprecated from 0.2.6 and will be removed in next release. Use subjects instead.

subjects : list or int, optional

Either a list of subjects or the number of subjects to load, from 1 to 6. By default, 2nd subject will be loaded. Empty list returns no subject data.

fetch_stimuli: boolean, optional

Indicate if stimuli images must be downloaded. They will be presented as a dictionnary of categories.

Returns:

data: sklearn.datasets.base.Bunch

Dictionary-like object, the interest attributes are : ‘anat’: string list. Paths to anatomic images. ‘func’: string list. Paths to nifti file with bold data. ‘session_target’: string list. Paths to text file containing session and target data. ‘mask’: string. Path to fullbrain mask file. ‘mask_vt’: string list. Paths to nifti ventral temporal mask file. ‘mask_face’: string list. Paths to nifti ventral temporal mask file. ‘mask_house’: string list. Paths to nifti ventral temporal mask file. ‘mask_face_little’: string list. Paths to nifti ventral temporal mask file. ‘mask_house_little’: string list. Paths to nifti ventral temporal mask file.

Notes

PyMVPA provides a tutorial making use of this dataset: http://www.pymvpa.org/tutorial.html

More information about its structure: http://dev.pymvpa.org/datadb/haxby2001.html

See additional information <http://www.sciencemag.org/content/293/5539/2425>

Run 8 in subject 5 does not contain any task labels. The anatomical image for subject 6 is unavailable.

References

Haxby, J., Gobbini, M., Furey, M., Ishai, A., Schouten, J., and Pietrini, P. (2001). Distributed and overlapping representations of faces and objects in ventral temporal cortex. Science 293, 2425-2430.