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

Yong Beom Cho; Kazuhiro Tsuchiya; Yoshiyasu Takefuji

doi:10.1007/BF00228714

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

Yong Beom Cho, Kazuhiro Tsuchiya, Yoshiyasu Takefuji

Research output: Contribution to journal › Article › peer-review

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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 language	English
Pages (from-to)	313-322
Number of pages	10
Journal	Analog Integrated Circuits and Signal Processing
Volume	2
Issue number	4
DOIs	https://doi.org/10.1007/BF00228714
Publication status	Published - 1992 Nov
Externally published	Yes

ASJC Scopus subject areas

Signal Processing
Hardware and Architecture
Surfaces, Coatings and Films

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title = "CMOS analog/digital circuit of the hysteresis McCulloch-Pitts neuron for Ramsey numbers",

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.",

author = "{Beom Cho}, Yong and Kazuhiro Tsuchiya and Yoshiyasu Takefuji",

year = "1992",

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doi = "10.1007/BF00228714",

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AU - Tsuchiya, Kazuhiro

AU - Takefuji, Yoshiyasu

PY - 1992/11

Y1 - 1992/11

N2 - 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.

AB - 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.

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JF - Analog Integrated Circuits and Signal Processing

IS - 4

ER -

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

Abstract

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