Fig. 3.

Sensitivity estimates in three ROIs. Facial identity discrimination was computed using both the entire set of features in an ROI and a subset of diagnostic features identified by multivariate feature selection (i.e., RFE), the two types of classification are labeled as pre- and post-RFE. The average number of features involved in classification is superimposed on each bar. The results indicate that the bilateral FFA, in contrast to an early visual area, contains sufficient information to discriminate identities above chance (P < 0.05).