Welcome to the website of the Laboratory for Computational Cognitive Neuroscience, directed by Professor F. Gregory Ashby. The research conducted in the lab combines cognitive neuroscience, cognitive psychology, computational modeling, and empirical data collection to study the basic mechanisms of human learning, from initial acquisition through automaticity. The goals are to understand the underlying perceptual, cognitive, and neural processes, and to build and test neurobiologically detailed computational models. The lab conducts behavioral and neuroimaging (i.e., fMRI) studies of healthy adults. Most experiments study category learning because categorization affords excellent observability of decision processes. In addition, single-cell recording data are used to test and calibrate the computational models (although electro-physiological data are not collected in the lab), and via collaboration, we study categorization in other species (monkeys and pigeons).