著者

浦久保 秀俊 黒田 真也 相原 威

出版者

日本シミュレーション学会

雑誌

シミュレーション (ISSN:02859947)

巻号頁・発行日

vol.25, no.1, pp.4-12, 2006-03-15

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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).