what does 1-^ mean in the psychometric function
upper asymptote
In psychophysics, the psychometric function is a curve that characterizes the relationship between the physical intensity or magnitude of a sensory stimulus and the observer’s perception or response to that stimulus. The psychometric function is typically plotted as the proportion of trials in which the observer reports the presence or absence of a stimulus (e.g., a tone or light) as a function of the intensity of the stimulus.
The term “1-^” is not a common notation used in the psychometric function. However, it is possible that this notation is used to indicate the inverse or complement of the proportion of correct responses or the proportion of trials in which the stimulus was detected.
For example, if the proportion of correct responses is 0.7, then the proportion of incorrect responses would be 0.3. In this case, the notation “1-0.3” would be equivalent to “0.7”. Therefore, “1-^” might be used to indicate the proportion of incorrect responses or the proportion of trials in which the stimulus was not detected or perceived.
It is important to note that the specific notation and interpretation of psychometric functions may vary depending on the research context and conventions.
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