Bayesian analysis toolbox for delay discounting, version 1.3

Posterior predictive checks The toolbox now calculates 2 measures of “goodness of fit” of the models. This is a useful quantitative reassurance that the models describe the participant discounting behaviour better than chance. In turn, this is important when we come to deciding which (if any) data files we should exclude. You can go and […]

How do we use the past to predict the future in oculomotor search?

When we conduct visual search for an item of interest we can not only ask ‘what looks like my target’ but we can also ask ‘where do I expect the target to be?’ In a forthcoming paper in the journal¬†Vision Research¬†I asked: how do we use our past experience to construct predictions of where a […]