The sparse coding model for natural images and its network implementation has been discussed. The tiling properties of the resulting filters have been compared to the receptive field tiling of biological neurons. The sparse coding model for time-varying natural images has been compared to the response of V1. A bilinear model for the separation of 'what' and 'where' information has been introduced.

Keywords:

Neurobiological vision, Sparse Coding, V1, Natural images, Overcomplete, Contrast normalization,Bilinear model, Shiftable basis functions

Lecture #10835

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