Spatial frequency (SF) is an important attribute in the visual scene and is a defining feature of visual processing channels. However, there remain many unsolved questions about how extrastriate areas in primate visual cortex codes this fundamental information. Here, using intrinsic signal optical imaging in visual areas of V2 and V4 of macaque monkeys, we quantify the relationship between SF maps and (1) visual topography and (2) color and orientation maps. We find that in orientation regions, low to high SF is mapped orthogonally to orientation; in color regions, which are reported to contain orthogonal axes of color and lightness, low spatial frequencies (SFs) tend to be represented more frequently than high SFs. This supports a population-based SF fluctuation related to the 'color/orientation' organizations. We propose a generalized hypercolumn model across cortical areas, comprised of two orthogonal parameters with additional parameters.
Spatial frequency (SF) is an important attribute in the visual scene and is a defining feature of visual processing channels. However, there remains many unsolved questions about how primate visual cortex, in particular extrastriate areas V2 and V4, codes this fundamental information. Here, using intrinsic signal optical imaging in visual cortex of Macaque monkeys, we quantify the relationship between spatial frequency maps and (1) visual topography, (2) color and orientation maps, and (3) across visual areas V1, V2, and V4. We find that in orientation regions, low to high spatial frequency is mapped orthogonally to orientation; however, in color regions, which is reported to contain orthogonal axes of color and lightness, only low spatial frequencies are represented without a gradient of SF representation. This produces the first observation of a population spatial frequency fluctuation related to the repeating color/orientation organizations. These findings support a generalized hypercolumn model across cortical areas, comprised of two orthogonal parameters with additional parameters.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.