Integrated circuit neural networks using ferroelectric analog memory

L. T. Clark, R. O. Grondin, S. K. Dey

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

2 Citations (Scopus)

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 - Jan 1 1992
Externally publishedYes
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

Fingerprint

Ferroelectric materials
Integrated circuits
Neural networks
Data storage equipment
Networks (circuits)
Capacitors
Polarization
Ferroelectric thin films
Circuit simulation
SPICE
Electric potential
Simulation
Film capacitor
Efficacy
Artificial neural network
Programming

ASJC Scopus subject areas

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

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

Integrated circuit neural networks using ferroelectric analog memory. / Clark, L. T.; Grondin, R. O.; Dey, S. K.

11th Annual International Phoenix Conference on Computers and Communication, IPCCC 1992 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 1992. p. 736-742 200514 (11th Annual International Phoenix Conference on Computers and Communication, IPCCC 1992 - Proceedings).

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

Clark, LT, Grondin, RO & Dey, SK 1992, Integrated circuit neural networks using ferroelectric analog memory. in 11th Annual International Phoenix Conference on Computers and Communication, IPCCC 1992 - Proceedings., 200514, 11th Annual International Phoenix Conference on Computers and Communication, IPCCC 1992 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 736-742, 11th Annual International Phoenix Conference on Computers and Communication, IPCCC 1992, Scottsdale, United States, 4/1/92. https://doi.org/10.1109/PCCC.1992.200514
Clark LT, Grondin RO, Dey SK. Integrated circuit neural networks using ferroelectric analog memory. In 11th Annual International Phoenix Conference on Computers and Communication, IPCCC 1992 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 1992. p. 736-742. 200514. (11th Annual International Phoenix Conference on Computers and Communication, IPCCC 1992 - Proceedings). https://doi.org/10.1109/PCCC.1992.200514
Clark, L. T. ; Grondin, R. O. ; Dey, S. K. / Integrated circuit neural networks using ferroelectric analog memory. 11th Annual International Phoenix Conference on Computers and Communication, IPCCC 1992 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 1992. pp. 736-742 (11th Annual International Phoenix Conference on Computers and Communication, IPCCC 1992 - Proceedings).
@inproceedings{c716c6bba3dc41eb8e05d200b7bb72be,
title = "Integrated circuit neural networks using ferroelectric analog memory",
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.",
author = "Clark, {L. T.} and Grondin, {R. O.} and Dey, {S. K.}",
year = "1992",
month = "1",
day = "1",
doi = "10.1109/PCCC.1992.200514",
language = "English (US)",
series = "11th Annual International Phoenix Conference on Computers and Communication, IPCCC 1992 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "736--742",
booktitle = "11th Annual International Phoenix Conference on Computers and Communication, IPCCC 1992 - Proceedings",

}

TY - GEN

T1 - Integrated circuit neural networks using ferroelectric analog memory

AU - Clark, L. T.

AU - Grondin, R. O.

AU - Dey, S. K.

PY - 1992/1/1

Y1 - 1992/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84950032320&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84950032320&partnerID=8YFLogxK

U2 - 10.1109/PCCC.1992.200514

DO - 10.1109/PCCC.1992.200514

M3 - Conference contribution

AN - SCOPUS:84950032320

T3 - 11th Annual International Phoenix Conference on Computers and Communication, IPCCC 1992 - Proceedings

SP - 736

EP - 742

BT - 11th Annual International Phoenix Conference on Computers and Communication, IPCCC 1992 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

ER -