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_spm_auditory¶

nilearn.datasets.fetch_spm_auditory(data_dir=None, data_name='spm_auditory', verbose=1)[source]¶

Fetch SPM auditory single-subject data.

See SPM auditory single-subject data[1].

Parameters:

%(data_dir)s
data_namestr, default=’spm_auditory’: Name of the dataset.
%(verbose)s

Returns:

datasklearn.utils.Bunch: Dictionary-like object, the interest attributes are: - ‘anat’: list of str. Path to anat image - ‘func’: list of str. Path to functional image - ‘events’: list of str. Path to events.tsv file - ‘description’: str. Data description

References

Examples using `nilearn.datasets.fetch_spm_auditory`¶

Intro to GLM Analysis: a single-run, single-subject fMRI dataset

Plotting images with transparent thresholding

Predicted time series and residuals

nilearn.datasets.fetch_spm_auditory¶

Examples using nilearn.datasets.fetch_spm_auditory¶

Examples using `nilearn.datasets.fetch_spm_auditory`¶