Studies in psychophysics and neurophysiology often use ambiguous visual stimuli as a starting point for studying visual perception and perceptual decision making in general. Behavioral experiments indicate the influence of intermittently presented visual stimuli under ambiguous conditions on choice sequences. Analysis of neurophysiological studies on macaques have established a connection between the behavioral and the neuronal level through stabilization. I will comment on stabilization as the neuronal mechanism underlying these choice sequences. There exist models at the population level predicting choice sequences adequately, yet the interpretation of certain parameters is unclear. Starting from a neurophysiologic dataset, I will describe how I will develop a biophysically realistic neuronal network model that might lead to more insight on the mechanisms of stabilization and the global key parameters.