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 Complementary Metaloxide Semiconductor Very Large Scale Integration process. 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
Mar 01, 1991
Accession Number
ADA236265

Entities

People

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

Organizations

  • Lehigh University

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Algorithms
  • Amplifiers
  • Artificial Intelligence
  • Computer Programming
  • Computers
  • Data Acquisition
  • Delay Lines
  • Dynamic Range
  • Electrical Engineering
  • Energy Bands
  • Memory Devices
  • Neural Networks
  • Nonvolatile Memories
  • Operational Amplifiers
  • Radiation
  • Signal Processing
  • Training

Readers

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

Technology Areas

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