Show stimuli of Haxby et al. dataset#

In this script we plot an overview of the stimuli used in “Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex” (Science 2001)

  • shoes
  • chairs
  • bottles
  • cats
  • scissors
  • faces
  • houses
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

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()

Total running time of the script: ( 0 minutes 7.565 seconds)

Estimated memory usage: 56 MB

Gallery generated by Sphinx-Gallery