Representation of spatial frequency and orientation in the visual cortex

  • R. M. Everson
    Laboratory for Applied Mathematics and Departments of Biophysics and Ophthalmology, The Mount Sinai School of Medicine, New York, NY 10029; Biophysics Laboratory, The Rockefeller University, New York, NY 10021
  • A. K. Prashanth
    Laboratory for Applied Mathematics and Departments of Biophysics and Ophthalmology, The Mount Sinai School of Medicine, New York, NY 10029; Biophysics Laboratory, The Rockefeller University, New York, NY 10021
  • M. Gabbay
    Laboratory for Applied Mathematics and Departments of Biophysics and Ophthalmology, The Mount Sinai School of Medicine, New York, NY 10029; Biophysics Laboratory, The Rockefeller University, New York, NY 10021
  • B. W. Knight
    Laboratory for Applied Mathematics and Departments of Biophysics and Ophthalmology, The Mount Sinai School of Medicine, New York, NY 10029; Biophysics Laboratory, The Rockefeller University, New York, NY 10021
  • L. Sirovich
    Laboratory for Applied Mathematics and Departments of Biophysics and Ophthalmology, The Mount Sinai School of Medicine, New York, NY 10029; Biophysics Laboratory, The Rockefeller University, New York, NY 10021
  • E. Kaplan
    Laboratory for Applied Mathematics and Departments of Biophysics and Ophthalmology, The Mount Sinai School of Medicine, New York, NY 10029; Biophysics Laboratory, The Rockefeller University, New York, NY 10021

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<jats:p> Knowledge of the response of the primary visual cortex to the various spatial frequencies and orientations in the visual scene should help us understand the principles by which the brain recognizes patterns. Current information about the cortical layout of spatial frequency response is still incomplete because of difficulties in recording and interpreting adequate data. Here, we report results from a study of the cat primary visual cortex in which we employed a new image-analysis method that allows improved separation of signal from noise and that we used to examine the neurooptical response of the primary visual cortex to drifting sine gratings over a range of orientations and spatial frequencies. We found that ( <jats:italic>i</jats:italic> ) the optical responses to all orientations and spatial frequencies were well approximated by weighted sums of only two pairs of basis pictures, one pair for orientation and a different pair for spatial frequency; ( <jats:italic>ii</jats:italic> ) the weightings of the two pictures in each pair were approximately in quadrature (1/4 cycle apart); and ( <jats:italic>iii</jats:italic> ) our spatial frequency data revealed a cortical map that continuously assigns different optimal spatial frequency responses to different cortical locations over the entire spatial frequency range. </jats:p>

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