On deriving analyser characteristics from summation-at-threshold data.
It has been proved that a detection process may be accounted for by a simple two-state model consisting of a collection of linear analysers followed by a maximum-output decision rule provided that a set of all threshold stimuli is convex. A non-parametrical method to identify the analysers constituting such a model is proposed.
School of Psychology, Queen's University, Belfast, UK.
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Logvinenko
D006801:Humans; D008433:Mathematics; D008959:Models, Neurological; D008960:Models, Psychological; D012684:Sensory Thresholds; D014795:Visual Pathways / Q000502:physiology*; D014796:Visual Perception