We provide matlab- and winBUGS-based software that estimate the learning curve and learning trial of a single subject or a population of subjects by analyzing behavioral data obtained in a learning experiment. The learning curve characterizes the dynamics of the learning process as a function of trial number and is plotted along with its upper and lower 95% confidence bounds. The learning trial is defined as the first trial on which there is reasonable certainty ( 0.95) that for the remainder of the experiment the subject performs better than chance.
Smith AC, Wirth S, Suzuki WA, Brown EN.
Bayesian analysis of interleaved learning and response bias in behavioral experiments.
J Neurophysiol. 2007 Mar;97(3):2516-24. Epub 2006 Dec 20.
Smith AC, Frank LM, Wirth S, Yanike M, Hu D, Kubota Y, Graybiel AM, Suzuki W, Brown EN.
Dynamic analysis of learning in behavioral experiments,
J Neurosci, 2004, 15: 965-91.
Anne Smith's WinBUGS website: