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. 2013 Jun 6;9(6):e1003062. doi: 10.1371/journal.pcbi.1003062

Figure 1. Illustration of the combination of image components, comparison with computational models of component combinations, and receptive field comparison.

Figure 1

A Image patch (bottom left) showing an intersection of two branches extracted from a grey-level natural scene image (adapted from the van Hateren natural image database [58] with permission from J. H. van Hateren). Preprocessed version of the image patch (bottom right) obtained by using a center-surround filter to model the preprocessing by the lateral geniculate nucleus. B Left: Two image patches manually generated from the grey-level patch in A. Each patch is dominated by one of the two crossing branches of the original patch. Middle: The preprocessed versions of the two patches (central parts). Right: Combination of the two preprocessed patches using an occlusive combination (top) and a standard linear combination (bottom). C Examples of globular and Gabor-like receptive fields measured in V1 of macaque monkeys (courtesy of D. Ringach), and examples of the two receptive field types predicted by the occlusive encoding model. D Percentages of globular receptive fields predicted by different models for Inline graphic hidden units compared to percentages of globular fields of in vivo recordings.