This was Roger Stanton’s first publication.  This publication follows up a previous article that presented evidence that a prototype model provided a better account of category learning data than did an exemplar model.  In this particular study, a linear separable category structure is tested, and the prototype and exemplar models were compared on their ability to account for the data.  The exemplar model provided a better account of the individual participants’ data.   Importantly, a linearly separable category structure has several features that should be conducive to a prototype-based strategy, and thus this result is strong evidence that an exemplar model provides a superior account of human category learning performance.