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

[get_dataset_dir] Dataset found in /home/runner/nilearn_data/haxby2001
[fetch_single_file] Downloading data from
http://data.pymvpa.org/datasets/haxby2001/stimuli-2010.01.14.tar.gz ...
[fetch_single_file]  ...done. (1 seconds, 0 min)

[uncompress_file] Extracting data from
/home/runner/nilearn_data/haxby2001/ee9e0d5a40146477e9197f0d13da9b32/stimuli-201
0.01.14.tar.gz...
[uncompress_file] .. 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=plt.cm.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: 127 MB