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.

6.1.11. nilearn.datasets.fetch_haxby_simple

nilearn.datasets.fetch_haxby_simple(data_dir=None, url=None, resume=True, verbose=1)

Download and load an example haxby dataset

Parameters:

data_dir: string, optional :

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

Returns:

data: sklearn.datasets.base.Bunch :

Dictionary-like object, interest attributes are: ‘func’: string. Path to nifti file with bold data. ‘session_target’: string. Path to text file containing session and target data. ‘mask’: string. Path to nifti mask file. ‘session’: string. Path to text file containing labels (can be used for LeaveOneLabelOut cross validation for example).

Notes

PyMVPA provides a tutorial using this dataset : http://www.pymvpa.org/tutorial.html

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

See additional information

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.