Circuit Design Criteria for Stable Lateral Inhibition Neural Networks,

Abstract

In the analog VLSI implementation of neural systems, it is sometimes convenient to build lateral inhibition networks by using a locally connected on-chip resistive grid. A serious problem of unwanted spontaneous oscillation often arises with these circuits and renders them unusable in practice. This paper reports a design approach that guarantees such a system will be stable, even though the values of designed elements in the resistive grid may be imprecise and the location and values of parasitic elements may be unknown. The method is based on a rigorous, somewhat novel mathematical analysis using Tellegen's theorem and the idea of Popov multipliers from control theory. It is thoroughly practical because the criteria are local in the sense that no overall analysis of the interconnected system is required, empirical in the sense that they involve only measurable frequency response data on the individual cells, and robust in the sense that unmodelled parasitic resistances and capacitances in the interconnect network cannot affect the analysis.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1988
Accession Number
ADA195066

Entities

People

  • D. L. Standley
  • J. L. Wyatt Jr.

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Amplifiers
  • Capacitors
  • Closed Loop Systems
  • Computer Science
  • Contracts
  • Design Criteria
  • Dynamic Range
  • Electrical Engineering
  • Engineering
  • Frequency
  • Frequency Response
  • Impedance
  • Mathematical Analysis
  • Neural Networks
  • Numbers
  • Resonant Frequency
  • Standards

Readers

  • Control Systems Engineering.
  • Integrated Circuit Design and Technology.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms