Dynamic encoding of face information in the human fusiform gyrus.

ABSTRACT: Humans' ability to rapidly and accurately detect, identify and classify faces under variable conditions derives from a network of brain regions highly tuned to face information. The fusiform face area (FFA) is thought to be a computational hub for face processing; however, temporal dynamics of face information processing in FFA remains unclear. Here we use multivariate pattern classification to decode the temporal dynamics of expression-invariant face information processing using electrodes placed directly on FFA in humans. Early FFA activity (50-75 ms) contained information regarding whether participants were viewing a face. Activity between 200 and 500 ms contained expression-invariant information about which of 70 faces participants were viewing along with the individual differences in

SUBMITTER: Ghuman AS 

PROVIDER: S-EPMC4339092 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature