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A two-layer sparse coding model learns simple and complex cell receptive fields and topography from natural images
Independent component analysis Natural images Neural networks Spatial vision
2015/8/10
The classical receptive fields of simple cells in the visual cortex have been shown to emerge from the statistical properties of natural images by forcing the cell responses to be maximally sparse, i....
Human saccade is a dynamic process of information pursuit. Based on the principle of information maximization,we propose a computational model to simulate human saccadic scanpaths on natural images. T...