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Convexity of a set of subthreshold stimuli implies a peak detector

It has been shown that for every model of detection (whether single- or multi-channel, with linear or non-linear channels, and whatever decision rule), provided that it predicts a convex set of subthreshold stimuli, there is a psychophysically equivalent peak detector made up of a collection of line...

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Bibliographic Details
Published in:Spatial vision 1996, Vol.10 (2), p.105-123
Main Author: Logvinenko, A.D
Format: Article
Language:English
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Summary:It has been shown that for every model of detection (whether single- or multi-channel, with linear or non-linear channels, and whatever decision rule), provided that it predicts a convex set of subthreshold stimuli, there is a psychophysically equivalent peak detector made up of a collection of linear analysers followed by a maximum-output decision rule. In this paper, the equivalent peak detector representations of some widely accepted detection models are calculated. The calculations rest on a general technique for deriving, from a given model, a formula which specifies the analyser most sensitive to any given stimulus.
ISSN:0169-1015
1568-5683
0169-1015
DOI:10.1163/156856896X00088