A Study on the Synaptic Characteristics of SONOS memories for the Artificial Neural Networks

인공신경망을 위한 SONOS 기억소자의 시냅스특성에 관한 연구

  • 이성배 (광운대학교 전자재료공학과) ;
  • 김주연 (광운대학교 전자재료공학과) ;
  • 서광열 (광운대학교 전자재료공학과)
  • Published : 1998.01.01

Abstract

In this paper, a new synapse cell with nonvolatile SONOS semiconductor memory device is proposed and it's fundamental function electronically implemented SONOS NVSM has shown characteristics that the memory value, synaptic weights, can be increased or decreased incrementally. A novel SONOS synapse is used to read out the stored analog value. For the purpose of synapse implementation using SONOS NVSM, this work has investigated multiplying characteristics including weight updating characteristics and neuron output characteristics. It is concluded that SONOS synapse cell has good agreement for use as a synapse in artificial neural networks.

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