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 [1].

Parameters:
data_dirpathlib.Path or str, optional

Path where data should be downloaded. By default, files are downloaded in home directory.

urlstr, optional

URL of file to download. Override download URL. Used for test only (or if you setup a mirror of the data). Default=None.

resumebool, optional

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

verboseint, optional

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

Returns:
dataBunch

Dictionary-like object, the interest attributes are :

  • ‘func’: string list

    Paths to nifti file with bold data

  • ‘label’: string list

    Paths to text file containing session and target data

  • ‘mask’: string

    Path to nifti mask file to define target volume in visual cortex

  • ‘background’: string

    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

Encoding models for visual stimuli from Miyawaki et al. 2008

Encoding models for visual stimuli from Miyawaki et al. 2008
Reconstruction of visual stimuli from Miyawaki et al. 2008

Reconstruction of visual stimuli from Miyawaki et al. 2008

Reconstruction of visual stimuli from Miyawaki et al. 2008
Understanding NiftiMasker and mask computation

Understanding NiftiMasker and mask computation

Understanding NiftiMasker and mask computation