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] Downloaded 4931584 of 10463676 bytes (47.1%%, 00 HR 00 MIN 01 SEC
remaining)
[fetch_haxby]  ...done. (1 seconds, 0 min)

[fetch_haxby] Extracting data from /home/runner/nilearn_data/haxby2001/ee9e0d5a4
0146477e9197f0d13da9b32/stimuli-2010.01.14.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(), strict=False):
            ax.imshow(plt.imread(img_path), cmap="gray")

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

show()

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References

[1]

James V. Haxby, M. Ida Gobbini, Maura L. Furey, Alumit Ishai, Jennifer L. Schouten, and Pietro Pietrini. Distributed and overlapping representations of faces and objects in ventral temporal cortex. Science, 293(5539):2425–2430, 2001. doi:10.1126/science.1063736.

Estimated memory usage: 138 MB