title: A multi-differential neuromorphic approach to motion detection.
abstract: This paper presents a multi-differential neuromorphic approach to motion detection. The model is based evidence for a differential operators interpretation of the properties of the cortical motion pathway. We discuss how this strategy, which provides a robust measure of speed for a range of types of image motion using a single computational mechanism, forms a useful framework in which to develop future neuromorphic motion systems. We also discuss both our approaches to developing computational motion models, and constraints in the design strategy for transferring motion models to other domains of early visual processing.
authors.affiliation: Department of Mathematical and Computing Sciences, Goldsmiths College, London, UK.
authors.forename: P W
authors.initials: PW
authors.lastname: McOwan
authors.forename: C
authors.initials: C
authors.lastname: Benton
authors.forename: J
authors.initials: J
authors.lastname: Dale
authors.forename: A
authors.initials: A
authors.lastname: Johnston
mesh_terms: D000818:Animals; D004175:Diptera; D017143:Fuzzy Logic; D006801:Humans; D008959:Models, Neurological; D009039:Motion Perception; D017711:Nonlinear Dynamics; D011601:Psychophysics; D012985:Software Design; D013028:Space Perception; D013998:Time Perception; D014795:Visual Pathways