CMOS analog/digital circuit of the hysteresis McCulloch-Pitts neuron for Ramsey numbers

Yong Beom Cho, Kazuhiro Tsuchiya, Yoshiyasu Takefuji

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

A parallel algorithm for finding Ramsey numbers is presented where analog/digital CMOS circuits for the hysteresis McCulloch-Pitts binary neuron are described. The hysteresis McCulloch-Pitts binary neuron model is used in order to suppress the oscillatory behaviors of neural dynamics so that the convergence time is shortened. The proposed algorithm using the hysteresis McCulloch-Pitts binary neuron found five Ramsey numbers. The analog CMOS sigmoid circuit with variable gain controls has been fabricated and tested using the SAC data acquisition board interfaced with a TMS 32010 processor. Hysteresis can be implemented by the positive feedback in the fabricated CMOS analog circuit.

Original languageEnglish
Pages (from-to)313-322
Number of pages10
JournalAnalog Integrated Circuits and Signal Processing
Volume2
Issue number4
Publication statusPublished - 1992 Nov
Externally publishedYes

Fingerprint

Digital circuits
Analog circuits
Neurons
Hysteresis
Networks (circuits)
Gain control
Parallel algorithms
Data acquisition
Feedback

ASJC Scopus subject areas

  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

CMOS analog/digital circuit of the hysteresis McCulloch-Pitts neuron for Ramsey numbers. / Cho, Yong Beom; Tsuchiya, Kazuhiro; Takefuji, Yoshiyasu.

In: Analog Integrated Circuits and Signal Processing, Vol. 2, No. 4, 11.1992, p. 313-322.

Research output: Contribution to journalArticle

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