NEURON/GENESISシミュレータから迫る神経科学 : スパイクタイミング依存シナプス可塑性の計算論的解析(<小特集>ニューロプラットフォームシミュレーション)

概要

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Recent advance in neuroscience has revealed that neurons as information processors are not point nodes, but spatially distributed units, as represented by dendritic arborization. Computer simulation is very effective for analyzing the distributed properties of neurons; however, the implementation as computer programs is quite complicated. Here, we introduce the GENESIS and NEURON simulators, which have been developed for supporting such complex neuronal simulations. We firstly address the mathematical bases for modeling spatial properties of neurons, and then explain how the NEURON/GENESIS simulator handles the properties with sample programs. At last, we show the effectiveness of the simulators by introducing our computational researches about spike timing-dependent plasticity (STDP).
日本シミュレーション学会の論文
2006-03-15