Mental chromometry
Mental chronometry is the study of the mind via the measurement of time (i.e. measuring differences in how fast a participant responds to various stimuli). Mental chromometry is a term I use to refer to a paradigm pioneered by Prinzmetal et al (1997) that uses the participant’s ability to reproduce a previously presented color to measure memory. In fact, the idea is rather more general than the specific case of color memory; the essence of the approach is to use a stimulus that falls on a continuum (color, location, brightness, etc) and use the distribution of error on the continuum to make inferences with regards to memory performance. Color is a nice stimulus domain because it can be represented as a circular continuum which in turn permits application of a simple performance model devised by Zhang & Luck (2008) that permits estimation of two aspects of memory performance: probability and fidelity of memory.
Unfortunately, Zhang & Luck failed to provide sufficient background materials on their approach for others to replicate the mathematics of estimating the probability and fidelity of memory. To ameliorate this oversight, I developed and tested my own estimation algorithms. At first I erroneously (and rather embarrassingly) modelled performance as a mixture of uniform and Gaussian distributions, and this work was briefly reported here. Reviewers at Behavior Research Methods quickly caught my error but I was permitted to resubmit a corrected manuscript applying the proper model of performance as a mixture of uniform and Von Mises distributions. In applying these corrections I also came across an enhanced algorithm for estimating mixture models, the Expectation-Maximization algorithm, which turns out to do a much better job of estimating the model’s parameters than straight Maximum Likelihood Estimation, which was used in the original manuscript.
Here’s a copy of the revised draft manuscript, printed in journal layout thanks to LaTeX. For those interested in playing with LaTeX, here’s the source.