Abstract:
:For the linear discrimination of two stimuli in white Gaussian noise in the presence of internal noise, a method is described for estimating linear classification weights from the sum of noise images segregated by stimulus and response. The recommended method for combining the two response images for the same stimulus is to difference the average images. Weights are derived for combining images over stimuli and observers. Methods for estimating the level of internal noise are described with emphasis on the case of repeated presentations of the same noise sample. Simple tests for particular hypotheses about the weights are shown based on observer agreement with a noiseless version of the hypothesis.
journal_name
J Visjournal_title
Journal of visionauthors
Ahumada AJ Jrdoi
10.1167/2.1.8keywords:
subject
Has Abstractpub_date
2002-01-01 00:00:00pages
121-31issue
1issn
1534-7362pii
2/1/8journal_volume
2pub_type
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