Table 1.

Decoding accuracies

V1V2V3V4VO1LO1LO2V3ABMT+
A
    O10.730.460.630.640.250.360.250.180.18
    O20.720.720.410.250.200.270.230.280.25
    O30.430.430.330.330.410.310.180.230.19
    O40.590.300.380.250.270.160.250.200.19
    O50.400.220.280.210.210.170.110.140.21
    Mean0.560.420.390.330.270.250.200.200.20
    Combined0.930.730.730.730.480.320.390.230.32
B
    O10.630.420.640.640.340.340.210.220.16
    O20.660.590.330.220.200.220.170.270.30
    O30.400.360.300.300.360.280.160.190.19
    O40.480.320.250.230.320.200.250.290.27
    O50.320.280.290.190.320.180.150.150.21
    Mean0.490.390.350.310.310.240.190.220.22
    Combined0.800.640.710.640.510.410.430.340.36
  • A, Decoding accuracies obtained with the maximum likelihood classifier, for each visual cortical area. Accuracies are listed separately for each individual observer (O1–O5), averaged across observers (Mean), and when data were combined across all observers before classification (Combined). Bold font indicates decoding accuracies that were significantly higher than chance as determined by a two-tailed permutation test (p < 0.05; see Materials and Methods). Accuracies were significantly greater than chance for V1, V2, and V3 in all observers and for areas V4 and VO1 in at least three of five observers. B, Decoding accuracies obtained using the forward model, showing a very similar pattern of (statistically significant) decoding accuracies as was found for the classifier.