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On deriving analyser characteristics from summation-at-threshold data
1School of Psychology, Queen's University, Belfast, UK.
Biological Cybernetics
|November 1, 1995
Abstract:
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.