4.1.1.3. nilearn.datasets.fetch_haxby

nilearn.datasets.fetch_haxby(data_dir=None, n_subjects=1, url=None, resume=True, verbose=0)

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 5.

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_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 informations about its structure : http://dev.pymvpa.org/datadb/haxby2001.html

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

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.