Ontology highlight
ABSTRACT:
SUBMITTER: VanRullen R
PROVIDER: S-EPMC6529435 | biostudies-other | 2019
REPOSITORIES: biostudies-other
Communications biology 20190521
Although distinct categories are reliably decoded from fMRI brain responses, it has proved more difficult to distinguish visually similar inputs, such as different faces. Here, we apply a recently developed deep learning system to reconstruct face images from human fMRI. We trained a variational auto-encoder (VAE) neural network using a GAN (Generative Adversarial Network) unsupervised procedure over a large data set of celebrity faces. The auto-encoder latent space provides a meaningful, topolo ...[more]