page_title: Psychometric function
hierarchical_section_title: Psychometric function
caption_attribution_description: English: I created this file with Apple Numbers. The data are generated by adding some noise to a sequence of numbers and throwing a sigmoid function on them.
context_page_description: A psychometric function is an inferential model applied in detection and discrimination tasks. It models the relationship between a given feature of a physical stimulus, e.g. velocity, duration, brightness, weight etc., and forced-choice responses of a human or animal test subject. The psychometric function therefore is a specific application of the generalized linear model to psychophysical data. The probability of response is related to a linear combination of predictors by means of a sigmoid link function.
context_section_description: A psychometric function is an inferential model applied in detection and discrimination tasks. It models the relationship between a given feature of a physical stimulus, e.g. velocity, duration, brightness, weight etc., and forced-choice responses of a human or animal test subject. The psychometric function therefore is a specific application of the generalized linear model (GLM) to psychophysical data. The probability of response is related to a linear combination of predictors by means of a sigmoid link function (e.g. probit, logit, etc.).
caption: Simulated example of a psychometric function, showing how the proportion of correct detections may increase with increasing luminance of the stimulus.
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