Show stimuli of Haxby et al. dataset

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

try:
    import matplotlib.pyplot as plt
except ImportError:
    raise RuntimeError("This script needs the matplotlib library")

from nilearn import datasets
from nilearn.plotting import show

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

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. URL: https://science.sciencemag.org/content/293/5539/2425, arXiv:https://science.sciencemag.org/content/293/5539/2425.full.pdf, doi:10.1126/science.1063736.

Estimated memory usage: 13 MB