15 Influence of initial fixation position where the noise term η is an additional model parameter. Since the model predicts fixation locations, but not fixation durations, we used the exact fixation durations from the experimental data for our simulations. Also numbers of fixations and starting positions were chosen as in the experimental data. All model parameters were chosen as in the published version of the SceneWalk model (Engbert et al., 2015). In an additional model run, the parameter controlling the strength of the inhibition map was manually adapted for a second analysis with reduced influence of inhibitory tagging. In our experiment, we manipulated starting positions to investigate the influence on scan- path statistics. We begin with reporting summary statistics on saccade amplitudes and saccade turning angles, before we analyze the temporal evolution of the mean horizon- tal distance from the starting position. The temporal evolution of the mean horizontal distance from the starting position will turn out to be an important measure of scan- path statistics. Finally, we run several numerical model simulations to interpret potential mechanisms underlying scanpath generation. In our experiment, distributions of saccade amplitudes show the heavy tailed curve that is typically observed in scene viewing experiments (Tatler, Baddeley, & Vincent, 2006; Henderson & Hollingworth, 1998). Saccade amplitude distributions (Fig. 4a) across dif- ferent image types and starting positions were all very similar. The only visible difference was a slight shift from short to medium saccade lengths in the pattern images compared to the object based images. Saccadic Amplitudes and Directions Results