Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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The Role of Slow Inhibitory Neurons in a Stochastic Neural Network Model with IF Neurons

확률적 신경망 모델에서 느린 금지뉴런의 역할

  • C.J. Park (Institute of Medical and Biological Engineering, Medical Research Center, Seoul National Univ.) ;
  • In Sun Shin (Department of Mathematics Education, Korea National University of Education) ;
  • Kwang Suk Park (Department of biomedical Engineering, Seoul National University)
  • Published : 2002.08.01
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Abstract

We have investigated the role of slow inhibitory neurons in spontaneous activity using a model network controlled by stochastic mean field theory based on Integrated-and-Fire excitatory and fast inhibitory neurons. It is found that inputting slow inhibitory neurons to such network induces stable spontaneous activity at a much lower threshold than without slow inhibitory neurons in the network. This threshold range is low enough to be considered as biological threshold of cortical neurons. Only slow inhibitory neurons can give adjustable negative feedback in the network keeping lower rate and lower threshold.

일반적으로 금지뉴런의 효과는 신경망을 안정시킨다고 알려져 있다. 본 연구에서는 확률적 평균 필드 이론에 근거한 신경망 모델에서 느린 금지뉴런의 역할을 살펴보았다. 흥분뉴런과 빠른 금지뉴런으로 구성된 신경망에 느린 금지뉴런을 더하면, 느린 금지 뉴런이 없는 모델에서보다 매우 낮은 역치에서 안정적인 동시적 활동이 유도된다는 것을 발견하였다. 이 역치는 대뇌 피질 신경의 생리학적 역치와 일치하며. 느린 금지 뉴런만이 신경망에 낮은 발화율과 낮은 역치를 유지시키는 네거티브 피드백을 줄 수 있다.

Keywords

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