年次大会
Online ISSN : 2424-2667
ISSN-L : 2424-2667
セッションID: J1610102
会議情報
J1610102 神経回路モデルによる確率共鳴現象の数値シミュレーション
神戸 浩平大岡 昌博
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会議録・要旨集 フリー

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Stochastic resonance (SR) is an effect caused on non-linear systems and enhances signal sensitively through an adequate external noise. Since it is well known that non-linear neuron models have a capability to generate SR, we comprise a parallel network of artificial neurons formulated by Hodgkin-Huxley. A series of numerical simulations were performed through changing number of neurons 1 to 1000. Calculated results demonstrated that increase of neuron number enlarges region of noise intensity capable of causing SR and that noise having independent noise history enhances SR effect.
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