Adaptation-Level Theory and Context Effects on Sensory Judgments: Perception or Response?

Perception ◽  
1972 ◽  
Vol 1 (1) ◽  
pp. 101-109 ◽  
Author(s):  
H D Ellis

The evidence in favour of Helson's (1947, 1964) contention that context effects are the result of alterations in sensory excitability is reviewed. In particular Steven's (1958) criticism of category scaling, as a technique for establishing such context effects, is examined as well as the experimental evidence supporting it. These studies are not considered conclusive proof that such effects are solely mediated by response processes. Other evidence suggests that there is a perceptual component, and that therefore Helson's Adaptation Level Theory—a single factor theory—is probably oversimplified, since context effects appear to reflect a number of factors both perceptual and response based. The inappropriateness of analysing context effects by means of statistical decision theory is discussed.

2002 ◽  
Vol 357 (1420) ◽  
pp. 419-448 ◽  
Author(s):  
Wilson S. Geisler ◽  
Randy L. Diehl

In recent years, there has been much interest in characterizing statistical properties of natural stimuli in order to better understand the design of perceptual systems. A fruitful approach has been to compare the processing of natural stimuli in real perceptual systems with that of ideal observers derived within the framework of Bayesian statistical decision theory. While this form of optimization theory has provided a deeper understanding of the information contained in natural stimuli as well as of the computational principles employed in perceptual systems, it does not directly consider the process of natural selection, which is ultimately responsible for design. Here we propose a formal framework for analysing how the statistics of natural stimuli and the process of natural selection interact to determine the design of perceptual systems. The framework consists of two complementary components. The first is a maximum fitness ideal observer, a standard Bayesian ideal observer with a utility function appropriate for natural selection. The second component is a formal version of natural selection based upon Bayesian statistical decision theory. Maximum fitness ideal observers and Bayesian natural selection are demonstrated in several examples. We suggest that the Bayesian approach is appropriate not only for the study of perceptual systems but also for the study of many other systems in biology.


Author(s):  
Elías Moreno ◽  
Francisco José Vázquez-Polo ◽  
Miguel Ángel Negrín-Hernández

2008 ◽  
Vol 12 (8) ◽  
pp. 291-297 ◽  
Author(s):  
Julia Trommershäuser ◽  
Laurence T. Maloney ◽  
Michael S. Landy

Technometrics ◽  
1998 ◽  
Vol 40 (2) ◽  
pp. 165-165
Author(s):  
S. Panchapakesan ◽  
N. Balakrishnan

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