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Much of the human cortex seems to be organized into topographic corticalmaps. Yet few quantitative methods exist for characterizing these maps. Toaddress this issue we developed a modeling framework that can revealgroup-level cortical maps based on neuroimaging data. PrAGMATiC, aprobabilistic and generative model of areas tiling the cortex, is ahierarchical Bayesian generative model of cortical maps. This model assumesthat the cortical map in each individual subject is a sample from a singleunderlying probability distribution. Learning the parameters of thisdistribution reveals the properties of a cortical map that are common across agroup of subjects while avoiding the potentially lossy step of co-registeringeach subject into a group anatomical space. In this report we give amathematical description of PrAGMATiC, describe approximations that make itpractical to use, show preliminary results from its application to a realdataset, and describe a number of possible future extensions.

PrAGMATiC: a Probabilistic and Generative Model of Areas Tiling the Cortex