title: An algorithmic model of heading perception.
abstract: On the basis of Hanada and Ejima's (2000) model, an algorithmic model was presented to explain psychophysical data of van den Berg and Beintema (2000) that are inconsistent with vector-subtractive compensation for the rotational flow. The earlier model was modified in order not to use vector-subtractive compensation for the rotational flow. The proposed model computes the center of flow first and then estimates self-rotation; finally, heading is recovered from the center of flow and the estimate of self-rotation. The model explains the data of van de Berg and Beintema (2000). A fusion model of rotation estimates from different sources (efferent signals, proprioceptive feedback, vestibular signals about eye and head rotation, and visual motion) was also presented.
authors.affiliation: Department of Cognitive and Information Sciences, Faculty of Letters, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba, 263-8522, Japan. hanada@fun.ac.jp
authors.forename: Mitsuhiko
authors.initials: M
authors.lastname: Hanada
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D005133:Eye Movements / Q000502:physiology; D006257:Head / Q000502:physiology*; D019416:Head Movements / Q000502:physiology; D006801:Humans; D008954:Models, Biological; D009039:Motion Perception / Q000502:physiology*; D009949:Orientation; D014795:Visual Pathways / Q000502:physiology