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Feedforward Learning of Mixture Models
We develop a biologically-plausible learning rule that provably converges to the class means of general mixture models.
An Online Algorithm for Learning Selectivity to Mixture Means
This rule generalizes the classical BCM neural rule, and provides a novel interpretation of classical BCM as performing a kind of tensor decomposition.
Third-Order Edge Statistics: Contour Continuation, Curvature, and Cortical Connections
Association field models have been used to explain human contour grouping performance and to explain the mean frequency of long-range horizontal connections across cortical columns in V1.
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