title: A neural network model for visual motion detection that can explain psychophysical and neurophysiological phenomena.
abstract: This paper proposes a new neural network model for visual motion detection. The model can well explain both psychophysical findings (the changes of displacement thresholds with stimulus velocity and the perception of apparent motion) and neurophysiological findings (the selectivity for the direction and the velocity of a moving stimulus). To confirm the behavior of the model, numerical examinations were conducted. The results were consistent with both psychophysical and neurophysiological findings.
authors.affiliation: College of Engineering, HOSEI University, Tokyo, Japan.
authors.forename: M
authors.initials: M
authors.lastname: Hirahara
authors.forename: T
authors.initials: T
authors.lastname: Nagano
mesh_terms: D000818:Animals; D003491:Cybernetics; D006801:Humans; D008959:Models, Neurological; D009039:Motion Perception / Q000502:physiology*; D009415:Nerve Net / Q000502:physiology*; D011603:Psychophysiology