Figure 3.

Generalizing from top-down activity to visual perception. Left: A classifier was trained on activity patterns recorded as participants viewed visual noise and sought to detect a cued fruit or vegetable. The classifier model was then tested on activity recorded as participants viewed real images of category examples in a separate run. Center: Activity patterns in this analysis were extracted from the left temporal lobe searchlights identified in the prior analysis of noise trials alone. Right: Classification accuracy significantly exceeded chance-performance, reflecting successful generalization from anticipatory activity to visual perception. The dashed line reflects the level of chance and the error bar shows the standard error of the mean. The asterisk signifies above-chance classification performance (P < 0.05).