How does the perception of ambiguous images develop?: a neuro-computational model with a dynamic feedback system
Naoki Kogo, Alessandra Galli, Luc Van Gool, Johan P. Wagemans · Lirias · 2009
The processes involved in the perception of ambiguous images are investigated with a neurocomputational model including a feedback system. Multistable perception is examined using “face or vase” stimuli. Feedback influences the border-ownership computation so that the figure-ground segregation is enhanced, and adaptation and its recovery determine the temporal aspects of the response. The model is tested with intermittent presentation as well as with disambiguated images. This model is then extended and applied to morphed images in a priming paradigm. The model predicts the responses to ambiguous target images with congruent, incongruent and neutral primes at different time courses.