### 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 |
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Pages (from-to) | 313-322 |

Number of pages | 10 |

Journal | Analog Integrated Circuits and Signal Processing |

Volume | 2 |

Issue number | 4 |

Publication status | Published - 1992 Nov |

Externally published | Yes |

### Fingerprint

### ASJC Scopus subject areas

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

### Cite this

*Analog Integrated Circuits and Signal Processing*,

*2*(4), 313-322.

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

Research output: Contribution to journal › Article

*Analog Integrated Circuits and Signal Processing*, vol. 2, no. 4, pp. 313-322.

}

TY - JOUR

T1 - CMOS analog/digital circuit of the hysteresis McCulloch-Pitts neuron for Ramsey numbers

AU - Cho, Yong Beom

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.

UR - http://www.scopus.com/inward/record.url?scp=0026954994&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0026954994&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0026954994

VL - 2

SP - 313

EP - 322

JO - Analog Integrated Circuits and Signal Processing

JF - Analog Integrated Circuits and Signal Processing

SN - 0925-1030

IS - 4

ER -