The slope of the psychometric function and non-stationarity of thresholds in spatiotemporal contrast vision


Autoria(s): Wallis, Stuart; Baker, Daniel; Meese, Tim; Georgeson, Mark
Data(s)

14/01/2013

Resumo

The slope of the two-interval, forced-choice psychometric function (e.g. the Weibull parameter, ß) provides valuable information about the relationship between contrast sensitivity and signal strength. However, little is known about how or whether ß varies with stimulus parameters such as spatiotemporal frequency and stimulus size and shape. A second unresolved issue concerns the best way to estimate the slope of the psychometric function. For example, if an observer is non-stationary (e.g. their threshold drifts between experimental sessions), ß will be underestimated if curve fitting is performed after collapsing the data across experimental sessions. We measured psychometric functions for 2 experienced observers for 14 different spatiotemporal configurations of pulsed or flickering grating patches and bars on each of 8 days. We found ß ˜ 3 to be fairly constant across almost all conditions, consistent with a fixed nonlinear contrast transducer and/or a constant level of intrinsic stimulus uncertainty (e.g. a square law transducer and a low level of intrinsic uncertainty). Our analysis showed that estimating a single ß from results averaged over several experimental sessions was slightly more accurate than averaging multiple estimates from several experimental sessions. However, the small levels of non-stationarity (SD ˜ 0.8 dB) meant that the difference between the estimates was, in practice, negligible.

Formato

application/pdf

Identificador

http://eprints.aston.ac.uk/17687/1/The_slope_of_the_psychometric_function.pdf

Wallis, Stuart; Baker, Daniel; Meese, Tim and Georgeson, Mark (2013). The slope of the psychometric function and non-stationarity of thresholds in spatiotemporal contrast vision. Vision Research, 76 (1), pp. 1-10.

Relação

http://eprints.aston.ac.uk/17687/

Tipo

Article

PeerReviewed