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.

8.2.18. nilearn.datasets.fetch_haxby

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

Download and loads complete haxby dataset [1].

Parameters
data_dirstring, optional

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

subjectslist 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. Default=(2,).

fetch_stimuliboolean, optional

Indicate if stimuli images must be downloaded. They will be presented as a dictionary of categories. Default=False.

resumebool, optional

Whether to resume download of a partly-downloaded file. Default=True.

verboseint, optional

Verbosity level (0 means no message). Default=1.

Returns
datasklearn.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

1

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.