Hodgkin-Huxleyモデルの数値シミュレーション : 脳機能の解明に向けて

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  • Hodgkin Huxley モデル ノ スウチ シミュレーション ノウ キノウ ノ カイメイ ニ ムケテ
  • A Numerical Simulation of Hodgkin-Huxley Model : An Approach to an Understanding of a Brain

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A numerical simulation of Hodgkin-Huxley model was carried out by using a Runge-Kutta method. In the numerical simulation, the functions of Numerical Recipes in C were used for solving the Hodgkin-Huxley equation. The accuracy of numerical solutions was discussed for both simple Runge-Kutta method and adaptive stepsize control Runge-Kutta method. The difference between simulation performed by using float type variables and one by using double type variables was also discussed. A large neural network of Hodgkin-Huxley neurons was carried out. A synchronization in the neural network was observed by changing the weight of synaptic transmission.

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