Overview of CNN research

25 years history and the current trends

A. Zarándy, Csaba Rekeczky, P. Szolgay, Leon O. Chua

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

6 Citations (Scopus)

Abstract

Cellular Neural/Nonlinear Networks (CNN) were invented in 1988, as an easy to implement, easy to program computer architecture for image and signal processing. This initiated intensive international research activities that lead to both theoretical (e.g. universality, stability studies in array dynamics) and experimental results (e.g. cellular sensor-processor chips and cellular algorithms). This overview paper summarizes the history of the CNN research and overviews the current activities in this field. Other areas are also discussed which were fostered by the results of the 25 years of CNN research: memristor architectures and processing, spin-torque oscillator architectures, many-core FPGA processing and industrial vision chips.

Original languageEnglish
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages401-404
Number of pages4
Volume2015-July
ISBN (Print)9781479983919
DOIs
Publication statusPublished - Jul 27 2015
EventIEEE International Symposium on Circuits and Systems, ISCAS 2015 - Lisbon, Portugal
Duration: May 24 2015May 27 2015

Other

OtherIEEE International Symposium on Circuits and Systems, ISCAS 2015
CountryPortugal
CityLisbon
Period5/24/155/27/15

Fingerprint

Nonlinear networks
Memristors
Computer architecture
Processing
Field programmable gate arrays (FPGA)
Signal processing
Image processing
Torque
Sensors

Keywords

  • beyond CMOS
  • Cellular Neural/Nonlinear Networks
  • CNN
  • CNN-UM
  • ultra-high-speed vision systems
  • universality

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Zarándy, A., Rekeczky, C., Szolgay, P., & Chua, L. O. (2015). Overview of CNN research: 25 years history and the current trends. In Proceedings - IEEE International Symposium on Circuits and Systems (Vol. 2015-July, pp. 401-404). [7168655] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCAS.2015.7168655

Overview of CNN research : 25 years history and the current trends. / Zarándy, A.; Rekeczky, Csaba; Szolgay, P.; Chua, Leon O.

Proceedings - IEEE International Symposium on Circuits and Systems. Vol. 2015-July Institute of Electrical and Electronics Engineers Inc., 2015. p. 401-404 7168655.

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

Zarándy, A, Rekeczky, C, Szolgay, P & Chua, LO 2015, Overview of CNN research: 25 years history and the current trends. in Proceedings - IEEE International Symposium on Circuits and Systems. vol. 2015-July, 7168655, Institute of Electrical and Electronics Engineers Inc., pp. 401-404, IEEE International Symposium on Circuits and Systems, ISCAS 2015, Lisbon, Portugal, 5/24/15. https://doi.org/10.1109/ISCAS.2015.7168655
Zarándy A, Rekeczky C, Szolgay P, Chua LO. Overview of CNN research: 25 years history and the current trends. In Proceedings - IEEE International Symposium on Circuits and Systems. Vol. 2015-July. Institute of Electrical and Electronics Engineers Inc. 2015. p. 401-404. 7168655 https://doi.org/10.1109/ISCAS.2015.7168655
Zarándy, A. ; Rekeczky, Csaba ; Szolgay, P. ; Chua, Leon O. / Overview of CNN research : 25 years history and the current trends. Proceedings - IEEE International Symposium on Circuits and Systems. Vol. 2015-July Institute of Electrical and Electronics Engineers Inc., 2015. pp. 401-404
@inproceedings{aef52de3812f42df8f010c930fdae383,
title = "Overview of CNN research: 25 years history and the current trends",
abstract = "Cellular Neural/Nonlinear Networks (CNN) were invented in 1988, as an easy to implement, easy to program computer architecture for image and signal processing. This initiated intensive international research activities that lead to both theoretical (e.g. universality, stability studies in array dynamics) and experimental results (e.g. cellular sensor-processor chips and cellular algorithms). This overview paper summarizes the history of the CNN research and overviews the current activities in this field. Other areas are also discussed which were fostered by the results of the 25 years of CNN research: memristor architectures and processing, spin-torque oscillator architectures, many-core FPGA processing and industrial vision chips.",
keywords = "beyond CMOS, Cellular Neural/Nonlinear Networks, CNN, CNN-UM, ultra-high-speed vision systems, universality",
author = "A. Zar{\'a}ndy and Csaba Rekeczky and P. Szolgay and Chua, {Leon O.}",
year = "2015",
month = "7",
day = "27",
doi = "10.1109/ISCAS.2015.7168655",
language = "English",
isbn = "9781479983919",
volume = "2015-July",
pages = "401--404",
booktitle = "Proceedings - IEEE International Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Overview of CNN research

T2 - 25 years history and the current trends

AU - Zarándy, A.

AU - Rekeczky, Csaba

AU - Szolgay, P.

AU - Chua, Leon O.

PY - 2015/7/27

Y1 - 2015/7/27

N2 - Cellular Neural/Nonlinear Networks (CNN) were invented in 1988, as an easy to implement, easy to program computer architecture for image and signal processing. This initiated intensive international research activities that lead to both theoretical (e.g. universality, stability studies in array dynamics) and experimental results (e.g. cellular sensor-processor chips and cellular algorithms). This overview paper summarizes the history of the CNN research and overviews the current activities in this field. Other areas are also discussed which were fostered by the results of the 25 years of CNN research: memristor architectures and processing, spin-torque oscillator architectures, many-core FPGA processing and industrial vision chips.

AB - Cellular Neural/Nonlinear Networks (CNN) were invented in 1988, as an easy to implement, easy to program computer architecture for image and signal processing. This initiated intensive international research activities that lead to both theoretical (e.g. universality, stability studies in array dynamics) and experimental results (e.g. cellular sensor-processor chips and cellular algorithms). This overview paper summarizes the history of the CNN research and overviews the current activities in this field. Other areas are also discussed which were fostered by the results of the 25 years of CNN research: memristor architectures and processing, spin-torque oscillator architectures, many-core FPGA processing and industrial vision chips.

KW - beyond CMOS

KW - Cellular Neural/Nonlinear Networks

KW - CNN

KW - CNN-UM

KW - ultra-high-speed vision systems

KW - universality

UR - http://www.scopus.com/inward/record.url?scp=84946210627&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84946210627&partnerID=8YFLogxK

U2 - 10.1109/ISCAS.2015.7168655

DO - 10.1109/ISCAS.2015.7168655

M3 - Conference contribution

SN - 9781479983919

VL - 2015-July

SP - 401

EP - 404

BT - Proceedings - IEEE International Symposium on Circuits and Systems

PB - Institute of Electrical and Electronics Engineers Inc.

ER -