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quick Methods |
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In many behavioral experiments, performance can be characterized by a simple functional form with few parameters: important examples include the contrast sensitivity function in studies of spatial vision or exponential decay functions in studies of sensory memory. These canonical functions, and their corresponding psychophysical models, provide great insight into mechanisms underlying behavior, but often require long testing times. To maintain the richness of these data, but reduce the burden of its collection, we have developed rapid and accurate methods for estimating behavioral functions. The quick methods (or qMethods) are a family of adaptive procedures that apply Bayesian testing strategies first developed to estimate multiple parameters of the psychometric function. These procedures have been developed in collaboration between the Vision Center Lab at the Salk Institute, the LOBES lab at USC, and the MAP lab at UC-Irvine. |
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Estimating External Noise Functions |
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Estimating Spatial Contrast Sensitivity Functions |
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Estimating Sensitivity Thresholds and Response Biases in Yes-No tasks |
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Estimating the 2-d surface of the Spatio-Temporal Contrast Sensitivity Function |
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quick
Partial Report (Coming
Soon) |
Estimating Sensory Memory Decay Functions |
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**Questions? Please
email Luis Lesmes (lu@ salk
dot edu) |
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