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UC Merced Proceedings of the Annual Meeting of the Cognitive Science Society Title Representational Shifts During Category Learning Publication Date Representational Shifts During Category Learning
Prototype and exemplar models form two extremes in a class of mixture model accounts of human category learning. This class of models allows flexible representations that can interpolate from simple prototypes to highly differentiated exem-plar accounts. We apply one such framework to data that afford an insight into the nature of representational changes during category learning. While generally supporting the notion of a prototype-to-exemplar shift during learning, the detailed analysisfatcat:4g6tnyqzuzakzicgqnv6ugxmg4