医用電子と生体工学
Online ISSN : 2185-5498
Print ISSN : 0021-3292
ISSN-L : 0021-3292
モデルによるニューロンの情報処理機能の推定
チャロンニポンワーニッチ スワット小林 敏孝辻 陽一
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ジャーナル フリー

1985 年 23 巻 2 号 p. 126-129

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抄録
In order to develop a new artificial neuron, a neuron model which is based on the many new findings about the neuron, especially on the neurochemical structure in a synapse, has been designed. The neuron model consists of four kinds of parameter; the absolute refractory period, the threshold function, the post-synaptic potential (PSP) waveform and the membrane potential function. We have examined effects of these parameters on the correlation between input and output of the neuron by the use of histograms and Markov property of impulse intervals.
Both histograms and Markov property of the output impulse intervals depended largely on the parameters related to the PSP waveform and the membrane potential function. It can be considered that a neuron has not only a threshold logic function but also the function of modulating input impulse intervals. This suggests that impulse interval processing function and the threshold logic function are highly important for the understanding of neuron's functions.
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© 日本生体医工学会
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