Fig. 3.

Asymptotic performance of the SVM classifier in experiments 1 and 2. Asymptotic classifier performance (average level of prediction) for each visual area (V1, V2, and pooled) and each different analysis [occluded trials, control trials, generalization 1 (G1: train control, test occluded), and generalization 2 (G2: train occluded, test control)] for experiments 1 (A) and 2 (B). Note that “asymptotic” is defined as performance for the maximum number of vertices (here 70 for V1 and V2 pooled, 30 for each area considered independently). Error bars show one SEM across participants. Occ, occluded.