  We propose a model that emulates saccades, the rapid movements of the eye,
called the Error Saccade Model, based on the prediction error of the Predictive
Vision Model (PVM). The Error Saccade Model carries out movements of the
model's field of view to regions with the highest prediction error. Comparisons
of the Error Saccade Model on Predictive Vision Models with and without a fovea
show that a fovea-like structure in the input level of the PVM improves the
Error Saccade Model's ability to pursue detailed objects in its view. We
hypothesize that the improvement is due to poorer resolution in the periphery
causing higher prediction error when an object passes, triggering a saccade to
the next location.
