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Learning Features of Simple and Complex Cells: A Generative Approach via Multiplicative Interactions
2011
Nature Precedings
Goal: •A computational model to learn the feature bases (receptive fields) of simple and complex cells in the primary visual cortex. •Address the translation invariance developed from c cells via natural image sequences. Approach: •Reconstruct an input via a linear combination of feature bases in simple cells. •Modulate the simple cell representation via multiplicative interactions from complex cells. •Enforce a sparseness prior for the latent representation of simple cells and complex cells.
doi:10.1038/npre.2011.5943.1
fatcat:v2axlfbhjjfrbpisr7jx64hmbi