We briefly review the "sparse coding" principle employed in the sensory information processing system of mammals and focus on the phenomenon that such principle is realized through over-complete representation strategy in primary sensory cortical areas (V1). Considering the lack of quantitative analysis of how many gains in sparsenality the over-complete representation strategy brings in neuroscience, in this paper, we give a quantitative analysis from the viewpoint of nonlinear approximation. The result shows that the over-complete strategy can provide sparser representation than the complete strategy. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Tan, S., Zhang, X., Wang, S., & Jiao, L. (2005). Image representation in visual cortex and high nonlinear approximation. In Lecture Notes in Computer Science (Vol. 3496, pp. 57–62). Springer Verlag. https://doi.org/10.1007/11427391_8
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