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Sparse coding as a principle of image representation in visual cortex | ||
Bruno Olshausen | ||
University of California Davis | ||
I shall discuss the principle of sparse coding as it has been applied toward modeling the response properties of V1 neurons, and especially its relation to alternative coding objectives such as independent components analysis (ICA) and temporal coherence. I shall also present evidence from functional magnetic resonance imaging showing that activity in V1 is reduced as a result of perceptual grouping. These results together with the modeling studies suggest that cortical neurons attempt to provide a succinct description of the structures in natural scenes using a small number of active units. | ||