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Show stimuli of Haxby et al. dataset¶

In this script we plot an overview of the stimuli used in Haxby et al.[1].

from nilearn._utils.helpers import check_matplotlib

check_matplotlib()

import matplotlib.pyplot as plt

from nilearn import datasets
from nilearn.plotting import show

haxby_dataset = datasets.fetch_haxby(subjects=[], fetch_stimuli=True)
stimulus_information = haxby_dataset.stimuli

[fetch_haxby] Dataset found in /home/runner/nilearn_data/haxby2001
[fetch_haxby] Downloading data from
http://data.pymvpa.org/datasets/haxby2001/stimuli-2010.01.14.tar.gz ...
[fetch_haxby]  ...done. (0 seconds, 0 min)

[fetch_haxby] Extracting data from
/home/runner/nilearn_data/haxby2001/ee9e0d5a40146477e9197f0d13da9b32/stimuli-201
0.01.14.tar.gz...
[fetch_haxby] .. done.

for stim_type in stimulus_information:
    # skip control images, there are too many
    if stim_type != "controls":
        file_names = stimulus_information[stim_type]

        fig, axes = plt.subplots(6, 8)
        fig.suptitle(stim_type)

        for img_path, ax in zip(file_names, axes.ravel()):
            ax.imshow(plt.imread(img_path), cmap="gray")

        for ax in axes.ravel():
            ax.axis("off")

show()