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Measuring Perceptual Hysteresis With The Modified Method Of Limits: Dynamics At The Threshold

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Chapter Summary

Unidimensional adaptive testing methods make estimation of single threshold values faster and more efficient, but substantial efficiency can be further gained by taking into account the relationship between thresholds at different values of an independent variable. This chapter presents a generic method – functional adaptive sequential testing (FAST) – for estimating thresholds as a function of another variable. This method allows efficient estimation of parameters relating an independent variable (e.g., stimulus spatial frequency; or reward delay) to the measured threshold along a stimulus strength dimension. The chapter describes the FAST algorithm and introduces a Matlab toolbox implementation thereof; then also presents computer simulations that illustrate the efficiency and flexibility of FAST. It demonstrates that efficiency can be substantially increased by considering the functional relationship between thresholds at different values of the independent variable of interest.

Keywords:computer simulations; functional adaptive sequential testing (FAST); independent variable; Matlab toolbox implementation; threshold values; unidimensional adaptive testing methods



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