Fig. 7.

Average classification accuracy (expressed in d-prime) for the fifty spheres with the best classification accuracy for the particular model used within the IPS ROI. The scale at right shows proportion correct classification. Error bars show the s.e.m. calculated over subjects. (A). Classification accuracy for the ten-class model, training with trials from both pre- and post-adaptation sessions. (B). Classification accuracy for the five-class model, training with pre-adaptation trials and testing with the left-out trials from pre-adaptation sessions (white bars) and with the same number of trials from post-adaptation sessions (hatched bars). (C). Classification accuracy for the five-class model, training with post-adaptation trials and testing with the left-out trials from post-adaptation sessions (hatched bars) and with the same number of trials from pre-adaptation sessions (white bars).