title: Novel neural circuit mechanism for visual edge detection.
abstract: The primary visual cortex is organized in a way that assigns a specific collection of neurons the job of providing the rest of the brain with all of the information it needs about each small part of the image present on the retina: Neighboring patches of the visual cortex provide the information about neighboring patches of the visual world. Each one of these cortical patches--often identified as a "pinwheel"--contains thousands of neurons, and its corresponding image patch is centered on a particular location in the retina. For stimuli within their image patch, neurons respond selectively to lines or edges with a particular slope (orientation tuning) and to regions of the patch of different sizes (known as spatial frequency tuning). The same number of neurons is devoted to reporting each possible slope (orientation). For the cells that cover different-sized regions of their image patch, however, the number of neurons assigned depends strongly on their preferred region size. Only a few neurons report on large and small parts of the image patch, but many neurons report visual information from medium-sized areas. I show here that having different numbers of neurons responsible for image regions of different sizes actually carries out a computation: Edges in the image patch are extracted. I also explain how this edge-detection computation is done.
authors.affiliation: The Salk Institute, La Jolla, CA 92037 stevens@salk.edu.
authors.forename: Charles F
authors.initials: CF
authors.lastname: Stevens
mesh_terms: D001931:Brain Mapping; D005583:Fourier Analysis; D006801:Humans; D009474:Neurons / Q000502:physiology*; D014793:Visual Cortex / Q000502:physiology*
keywords: neural computation; population code; theory; visual cortex