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 or None, 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 or None, 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.
verbosebool or int, default=1: Verbosity level (0 or False 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

If the dataset files are already present in the user’s Nilearn data directory, this fetcher will not re-download them. To force a fresh download, you can remove the existing dataset folder from your local Nilearn data directory.

For more details on how Nilearn stores datasets.

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`¶