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Simulated Retinal Center/Surround Artificial Neuroprocessing Using Analog VLSI

  • Todd A. Hinck
  • Allyn E. Hubbard

Abstract

We designed an array of CMOS circuits to realize part of a model of a biological retina that acts as a preprocessing stage in a Boundary Contour System/Feature Contour System1. The basis for the circuitry is a shunting neuron equation. The “membrane” voltage of this silicon neuron hyperpolarizes as a function of the surround excitation and depolarizes as a function of the center excitation. The electronics approximates a Difference of Gaussians operator for edge enhancement. That quantity is scaled by an approximation to a Sum of Gaussians operator. Thus, the output reports on contrast that is normalized by the image’s absolute intensity in a local region.

Keywords

Synthetic Aperture Radar Synthetic Aperture Radar Image Boundary Contour Edge Enhancement Tonic Level 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Grossberg, E. Mingolla and J. Williamson, 1995, Synthetic Aperture Radar Processing by a Multiple Scale Neural System for Boundary and Surface Representation, Neural Networks, 8 (7): 1005–1028.CrossRefGoogle Scholar
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Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • Todd A. Hinck
    • 1
  • Allyn E. Hubbard
    • 1
  1. 1.Department of Electrical and Computer Systems Engineering College of EngineeringBoston UniversityBostonUSA

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