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Comparison of two weighted integration models for the cueing task: linear and likelihood.
Full Abstract
In a task in which the observer must detect a signal at two locations, presenting a precue that predicts the location of a signal leads to improved performance with a valid cue (signal location matches the cue), compared to an invalid cue (signal location does not match the cue). The cue validity effect has often been explained with a limited capacity attentional mechanism improving the perceptual quality at the cued location. Alternatively, the cueing effect can also be explained by unlimited capacity models that assume a weighted combination of noisy responses across the two locations. We compare two weighted integration models, a linear model and a sum of weighted likelihoods model based on a Bayesian observer. While qualitatively these models are similar, quantitatively they predict different cue validity effects as the signal-to-noise ratios (SNR) increase. To test these models, 3 observers performed in a cued discrimination task of Gaussian targets with an 80% valid precue across a broad range of SNR's. Analysis of a limited capacity attentional switching model was also included and rejected. The sum of weighted likelihoods model best described the psychophysical results, suggesting that human observers approximate a weighted combination of likelihoods, and not a weighted linear combination.
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Author information
Author/s: Shimozaki, Steven S (SS); Eckstein, Miguel P (MP); Abbey, Craig K (CK);
Affiliation: Department of Psychology, University of California, Santa Barbara, CA, USA. mshimozak(-atsign-)psych.ucsb.edu
Grants: 53455 (Agency:United States PHS)
Journal and publication information
Publication Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, U.S. Gov't, P.H.S.
Journal: Journal of vision (J Vis), published in United States. (Language: eng)
Reference: 2003-; vol 3 (issue 3) : pp 209-29
Dates: Created 2003/05/01; Completed 2003/05/20; Revised 2008/04/29;
PMID: 12723966, status: MEDLINE (last retrieval date: 11/6/2008)
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
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