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Computational Modeling of Circadian Rhythms in Suprachiasmatic Nucleus Neurons

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Book cover Neural Information Processing (ICONIP 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4985))

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Abstract

The suprachiasmatic nucleus(SCN) is a self-sustaining circadian rhythm generator in mammals. SCN neurons exhibit irregular and complex firing activity, but their firing rates display well-defined deterministic behavior with a periodicity of 24 hours. Their underlying mechanisms are still unclear. In this study, we aim to develop the computational model using NEURON, a software package for biological neuron simulation, to examine channel contributions to circadian rhythms. We found that SCN neurons produced circadian rhythms of firing activity through an interplay of various channels, including the potassium and sodium channels.

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Authors and Affiliations

  1. Dept. of Bio and Brain Engineering, KAIST (Korea Advanced Institute of Science and Technology), 335 Gwahak ro, Yuseong-gu, Daejeon, South Korea

    Hyoungkyu Kim & Jaeseung Jeong

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  1. Hyoungkyu Kim
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  2. Jaeseung Jeong
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Masumi Ishikawa Kenji Doya Hiroyuki Miyamoto Takeshi Yamakawa

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© 2008 Springer-Verlag Berlin Heidelberg

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Kim, H., Jeong, J. (2008). Computational Modeling of Circadian Rhythms in Suprachiasmatic Nucleus Neurons. In: Ishikawa, M., Doya, K., Miyamoto, H., Yamakawa, T. (eds) Neural Information Processing. ICONIP 2007. Lecture Notes in Computer Science, vol 4985. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69162-4_97

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  • DOI: https://doi.org/10.1007/978-3-540-69162-4_97

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69159-4

  • Online ISBN: 978-3-540-69162-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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