Fault Tolerance in Analog VLSI: Case Study of a Focal Plane Processor

  • A. G. Andreou
  • S. A. Kontogiorgis


Biological systems provide good architectural models for information processing hardware. Difficult problems in machine perception and complex motor control are solved in a natural way by energy efficient and robust neural systems. Hopfield in his seminal paper [1] on physical systems with emergent computational abilities envisioned a new breed of integrated circuits that could implement such systems and would be much less sensitive to element failure than present day computers. Analog VLSI is a technology suitable for the implementation of synthetic neural systems [2, 3] on silicon.


Tracking Error Fault Tolerance Bias Current Voltage Difference Illumination Intensity 
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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Copyright information

© Springer Science+Business Media New York 1990

Authors and Affiliations

  • A. G. Andreou
    • 1
  • S. A. Kontogiorgis
    • 1
  1. 1.Dept. of Electrical & Computer ScienceThe Johns Hopkins UniversityBaltimoreUSA

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