Natural images dataset (StyleGAN-XL)

This dataset of natural images, as utilized in this notebook for neural decoding, forms part of the Brain2GAN study. It comprises w-latents of visual stimuli and corresponding (normalized) multi-unit activity (MUA) responses from the macaque visual cortex. The w-latents should be fed to the generator of StyleGAN-XL to recreate the visual stimuli. Note that the w-latents of the training and test set are included in separate .npy files.