A model of visual motion perception [Elektronische Ressource] / von Pierre Bayerl

ECOD·ODNEICS·MLUTÄTA model of visual motion perceptionPierre BayerlDissertation zur Erlangung des Doktorgrades Dr.rer.natder Fakult¨at fur¨ Informatik der Universit¨at Ulm.von Pierre Bayerl aus Wurzbur¨ g2005Universit¨at UlmAbteilung NeuroinformatikISREVINU·ODNARUC·ODNAmtierender Dekan: Prof. Dr. Helmuth PartschGutachter: Prof. Dr. Heiko Neumannhter: Prof. Dr. Gun¨ ther Palm(Gutachter:) Prof. Dr. Reinhard EckhornTag der Promotion: 21.12.2005AbstractTheneuralmechanismsunderlyingthesegregationandintegrationofdetectedmotionstill remain unclear to a large extent. Motion of an extended boundary can locally bemeasured by neurons only orthogonal to its orientation (aperture problem) while thisambiguity is resolved for localized image features, e.g. corners or non-occlusion junc-tions. In this thesis, a novel neural model of visual motion processing is developed thatinvolves early stages of the cortical dorsal and ventral pathways of the primate brainto integrate and segregate visual motion and in particular to solve the motion apertureproblem. Our model makes predictions concerning the time course of cells in area MTand V1 and serves as a means to link physiological mechanisms with perceptual behav-ior. We further demonstrate that our model also successfully processes natural imagesequences.