The attentive reconstruction of objects facilitates robust object recognition
Fig 6
Human recognition experiment and results.
A: Overview of the behavioral paradigm for measuring recognition reaction time (first button press) and accuracy (second button press). B: Stimuli were grouped into easy, medium, and difficult levels of recognition difficulty based on the number of forward processing steps needed for ORA to reach a predetermined recognition confidence threshold (dashed line; left panel). Colored regions indicate the corresponding standard deviations (SDs) across images. The unnumbered ticks on the x-axis indicate three local iterations of feature-based attention occurring within each forward processing (i.e., global spatial-masking iteration). The right panel shows distributions of human accuracy (averaged over participants) for the three difficulty conditions. C: Correlation between human RT and ORA’s RT, with the normalized marginal distribution of each variable shown on the top and right panels. Error bars represent standard error estimates bootstrapped from 1000 samples. Correlation plots for all MNIST-C corruption types can be found in S6 Fig.