Electrically Modifiable Nonvolatile SONOS Synapses for Electronic Neural Networks.

Abstract

This research addresses the implementation of an electronic element, which emulates the biological synaptic interconnection, in an artificial electronic neural system. The basic interconnection, or the weight, consists of an electrically reprogrammable, nonvolatile, analog conductance which programs at 5V levels. In addition, the fabrication technology for this synaptic interconnection is compatible with existing CMOS VLSI processes. The attractive features of this synaptic weight will be discussed in this report. Furthermore, this report examines the material needs, the-device structures, the use of the synaptic weights in a two-tap weight linear adaptive neural-like circuit and the issue of integrating both the synaptic weight elements and the peripheral circuit onto a single silicon wafer.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1992
Accession Number
ADA258318

Entities

People

  • Amit Banerjee
  • Chun-yu M. Chen
  • Margaret French
  • Marvin H. White

Organizations

  • Lehigh University

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Amplifiers
  • Circuit Boards
  • Computer Programming
  • Computer Programs
  • Computers
  • Data Acquisition
  • Delay Lines
  • Dynamic Range
  • Electrical Engineering
  • Memory Devices
  • Neural Networks
  • Nonvolatile Memories
  • Printed Circuits
  • Radiation
  • Semiconductors

Readers

  • Integrated Circuit Design and Technology.
  • Neural Network Machine Learning.
  • Neuroscience

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks
  • Microelectronics