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Separating transducer non-linearities and multiplicative noise in contrast discrimination.

Separating transducer non-linearities and multiplicative noise in contrast discrimination. Research Abstract Details 

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  • Separating transducer non-linearities and multiplicative noise in contrast discrimination. Abstract Text:

    stanley a kleinStanley A Klein,

    It has been difficult to isolate the factors that limit contrast discrimination, one of the most fundamental aspects of the visual system. claim to have found a method that can answer the question of why discrimination thresholds increase with reference contrast. Is it because of a saturating contrast response function or because of increasing (multiplicative) noise? Based on four datasets they conclude that multiplicative noise is the controlling factor. disagree and claim the jury is still out because only one of the four datasets has sufficiently good statistics to support the KCT claim. I reanalyze the KCT data and come to a different conclusion. I agree with GM that two of the four datasets have thresholds that are too low to be useful in discriminating models and that one dataset supports the KCT claim. The fourth dataset is the most interesting one in that it provides the strongest support for the KCT claim, but GM throw it out because the chi(2) of the best fit is high. The present paper makes a number of points: (1) two novel methods are used to fit the fourth dataset. One pair of models is based on the strong "finger error" asymmetry between the high and low contrast asymptotes of the psychometric function in the fourth dataset. I find that some version of multiplicative noise is needed. However, it may be multiplicative noise that depends on prior trials rather than just on the present trial. (2) Another model that allows the contrast response function to have maximal freedom fits the fourth dataset with a reasonable chi square, and with a need for multiplicative noise. (3) I examine alternative parameterizations of the model functions used by KCT and GM that provide a more intuitive interpretation of the parameters. In summary, although I find the data do support a generalized form of multiplicative noise, I agree with GM that the jury remains out about what are the factors that limit contrast discrimination.

    Separating transducer non-linearities and multiplicative noise in contrast discrimination. Publishing Authors By Initials

    sa kleinSA Klein,

    For similar psychological phenomena and processes: mental processes: perception: sensory thresholds research abstracts see: psychological phenomena and processes: mental processes: perception: sensory thresholds research

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    Separating transducer non-linearities and multiplicative noise in contrast discrimination. Journal Published:

    PUBLICATION TYPE: Research Support, N.I.H., Extr

    Journal: Vision research

    VOLUME: 46

    Page Numbers: 4279-93

    Journal Abbreviation: Vision Res.

    ISSN: 0042-6989

    DAY: 2

    MONTH: 10

    YEAR: 2006

    Separating transducer non-linearities and multiplicative noise in contrast discrimination. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 417402

    Separating transducer non-linearities and multiplicative noise in contrast discrimination. Keywords Mesh Terms:

    KEYWORDS: Sensory Thresholds

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    Chemical & Substance for Abstract: Separating transducer non-linearities and multiplicative noise in contrast discrimination. Information

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    Grant and Affiliation Information for Separating transducer non-linearities and multiplicative noise in contrast discrimination.

    AFFILIATION: University of California, Berkeley, USA. sklein@socrates.berkeley.edu <sklein@socrates.berkeley.edu>

    Country: England

    England Research PublicationEngland Research Publication

    AGENCY: United States NEI

    GRANT: EY 04776

    ACRONYM: EY

    MEDLINETA: Vision Res

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