A CNN model of multi-dimensional stimulus selectivity in primary visual cortex

  • B. E. SHI
  • Published 2004 in
    2004 IEEE International Joint Conference on…


We describe a neuromorphic approach to implementing model visual cortical neurons using a four-layer cellular neural network (CNN) chips. A key challenge is that visual cortical neurons are simultaneously selective along many stimulus dimensions, including retinal position, spatial frequency, orientation, temporal frequency, direction of motion, and… (More)


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