Integrated circuit neural networks using ferroelectric analog memory

Lawrence T Clark, Robert Oscar Grondin, S. K. Dey

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The application of ferroelectric thin-film capacitors as synapses in integrated circuit implementation of artificial neural networks is described. A continuous-valued synapse where the synaptic efficacy is controlled by the polarization of a ferroelectric capacitor element is presented. The ferroelectric analog synapse utilizes nondestructive readout. A ferroelectric capacitor circuit model has been added to the SPICE circuit simulation program and is complete with respect to current vs. time, polarization, and current vs. voltage responses. The simulated response in characterization circuits is shown to closely model that of lead zirconate titanate (PZT) thin-film capacitors. Simulation and experimental results show the proposed synapse circuit to possess a number of favorable characteristics, including very infrequent refresh and fine programming granularity.

Original languageEnglish (US)
Title of host publication11th Annual International Phoenix Conference on Computers and Communication, IPCCC 1992 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages736-742
Number of pages7
ISBN (Electronic)0780306058, 9780780306059
DOIs
StatePublished - 1992
Event11th Annual International Phoenix Conference on Computers and Communication, IPCCC 1992 - Scottsdale, United States
Duration: Apr 1 1992Apr 3 1992

Publication series

Name11th Annual International Phoenix Conference on Computers and Communication, IPCCC 1992 - Proceedings

Conference

Conference11th Annual International Phoenix Conference on Computers and Communication, IPCCC 1992
CountryUnited States
CityScottsdale
Period4/1/924/3/92

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management

Fingerprint Dive into the research topics of 'Integrated circuit neural networks using ferroelectric analog memory'. Together they form a unique fingerprint.

  • Cite this

    Clark, L. T., Grondin, R. O., & Dey, S. K. (1992). Integrated circuit neural networks using ferroelectric analog memory. In 11th Annual International Phoenix Conference on Computers and Communication, IPCCC 1992 - Proceedings (pp. 736-742). [200514] (11th Annual International Phoenix Conference on Computers and Communication, IPCCC 1992 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PCCC.1992.200514