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. |
