Figure 8.

Winning exclusiveness of the motion patterns with respect to 12 view-dependent movements. The exclusiveness measure describes the maximum of the number of time steps a pattern neuron was winning while a specific view-dependent movement was observed, divided by the number of time steps the pattern was winning during the whole testing phase. Thus, 1 denotes the maximum exclusiveness, denoting exclusive winning during the observation of a specific movement and view, while the lower boundary is $1/12$ for a pattern that is winning equally often during all observations.