title: Darkness filling-in: a neural model of darkness induction.
abstract: A model of darkness induction based on a neural filling-in mechanism is proposed. The model borrows principles from both Land's Retinex theory and BCS/FCS filling-in model of Grossberg and colleagues. The main novel assumption of the induction model is that darkness filling-in signals, which originate at luminance borders, are partially blocked when they try to cross other borders. The percentage of the filling-in signal that is blocked is proportional to the log luminance ratio across the border that does the blocking. The model is used to give a quantitative account of the data from a brightness matching experiment in which a decremental test disk was surrounded by two concentric rings. The luminances of the rings were independently varied to modulate the brightness of the test. Observers adjusted the luminance of a comparison disk surrounded by a single ring of higher luminance to match the test disk in brightness.
authors.affiliation: Department of Psychology, University of Washington, Box 351525, Seattle, WA 98195-1525, USA. mrudd@u.washington.edu
authors.forename: M E
authors.initials: ME
authors.lastname: Rudd
authors.forename: K F
authors.initials: KF
authors.lastname: Arrington
mesh_terms: D000328:Adult; D015350:Contrast Sensitivity; D006801:Humans; D008029:Lighting; D008297:Male; D008875:Middle Aged; D008959:Models, Neurological; D008960:Models, Psychological; D009903:Optical Illusions; D010775:Photic Stimulation / Q000379:methods; D011601:Psychophysics