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.

nilearn.datasets.fetch_miyawaki2008#

nilearn.datasets.fetch_miyawaki2008(data_dir=None, url=None, resume=True, verbose=1)[source]#

Download and loads Miyawaki et al. 2008 dataset (153MB).

See Miyawaki et al.[1].

Parameters:

data_dirpathlib.Path or str, optional: Path where data should be downloaded. By default, files are downloaded in a nilearn_data folder in the home directory of the user. See also nilearn.datasets.utils.get_data_dirs.
urlstr, default=None: URL of file to download. Override download URL. Used for test only (or if you setup a mirror of the data).
resumebool, default=True: Whether to resume download of a partly-downloaded file.
verboseint, default=1: Verbosity level (0 means no message).

Returns:

dataBunch

Dictionary-like object, the interest attributes are :

‘func’: list of str
Paths to nifti file with BOLD data
‘label’: list of str
Paths to text file containing run and target data
‘mask’: str
Path to nifti mask file to define target volume in visual cortex
‘background’: str
Path to nifti file containing a background image usable as a background image for miyawaki images.

Notes

This dataset is available on the brainliner website

See additional information

References

Examples using `nilearn.datasets.fetch_miyawaki2008`#

Encoding models for visual stimuli from Miyawaki et al. 2008

Reconstruction of visual stimuli from Miyawaki et al. 2008

Understanding NiftiMasker and mask computation

nilearn.datasets.fetch_miyawaki2008#

Examples using nilearn.datasets.fetch_miyawaki2008#

Examples using `nilearn.datasets.fetch_miyawaki2008`#