June 2006
Volume 6, Issue 6
Free
Vision Sciences Society Annual Meeting Abstract  |   June 2006
Signal detection analyses of an uncertainty discrimination paradigm
Author Affiliations
  • Lynn A. Olzak
    Department of Psychology, Miami University of Ohio
  • Jordan R. Wagge
    Department of Psychology, Miami University of Ohio
  • Robin D. Thomas
    Department of Psychology, Miami University of Ohio
Journal of Vision June 2006, Vol.6, 193. doi:10.1167/6.6.193
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      Lynn A. Olzak, Jordan R. Wagge, Robin D. Thomas; Signal detection analyses of an uncertainty discrimination paradigm. Journal of Vision 2006;6(6):193. doi: 10.1167/6.6.193.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

An uncertainty discrimination paradigm (Thomas & Olzak, 1996) can be used to assess the independent or non-independent processing of two components in a compound stimulus. In certainty conditions, the observer knows in which component the cue to discrimination will appear. In the uncertainty condition, it can appear in either. If the components are processed by independent mechanisms, performance will be lower in the uncertainty case due to there being two sources of noise in monitored channels, as opposed to a single source in the certainty case. Thomas and Olzak (1996) presented a signal detection decision model that predicted a performance ratio between the uncertainty and the certainty conditions of 2−0.5, or 0.71, if the components are processed independently. Here, we explore the optimality of that model relative to plausible alternatives, and we further determine how to compute d' in a statistically correct way under each model. Finally, we explore the implications under each model for making inference about neural channel interactions.

Olzak, L. A. Wagge, J. R. Thomas, R. D. (2006). Signal detection analyses of an uncertainty discrimination paradigm [Abstract]. Journal of Vision, 6(6):193, 193a, http://journalofvision.org/6/6/193/, doi:10.1167/6.6.193. [CrossRef]
Footnotes
 This research was supported by NIH Grant EY13953 to LAO
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