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Oscillator Network Modeling of Circadian Rhythm in the Suprachiasmatic Nucleus

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Advances in Cognitive Neurodynamics (III)

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Abstract

Oscillator network model is presented for the simulation of phase waves observed in a cultured slice of the suprachiasmatic nucleus (SCN). The coupling matrix is obtained by partial synchronization analysis of the bioluminescence image data, which represent gene expression signals. Numerical simulations show that the coupling matrix itself is not sufficient for the network model to reproduce the phase waves. Our study implies that additional condition such as gradient distribution of the oscillation periods is necessary to reproduce the dynamics of the measurement data.

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References

  1. Reppert, S.M., Weaver, D.R. Nature 418 (2002) 935.

    Google Scholar 

  2. Welsh, D.K., et al. Neuron 14 (1995) 697.

    Article  CAS  PubMed  Google Scholar 

  3. Honma, S., et al. Neurosci. Lett. 358 (2004) 173.

    CAS  Google Scholar 

  4. Aton, S.J., Herzog, E.D. Neuron 48 (2005) 531.

    Google Scholar 

  5. Kori, H., Mikhailov, A.S. Phys. Rev. Lett. 93 (2004) 254101.

    Article  Google Scholar 

  6. Bernard, S., et al. PLoS Comput. Biol. 3 (2007) e68.

    Google Scholar 

  7. Pennartz, C.M.A., et al. J. Physiol. 506–3 (1998) 775.

    Article  Google Scholar 

  8. Shirakawa, T., et al. Chronobiology International, 18–3 (2001) 371.

    Article  Google Scholar 

  9. Yamaguchi, S., et al. Science 302 (2003) 1408.

    Article  CAS  PubMed  Google Scholar 

  10. Fukuda, H., et al. PLoS ONE 6 (2011) e23568.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  11. Noguchi, T., et al. Eur. J. Neurosci. 20 (2004) 3199.

    Article  Google Scholar 

  12. Pikovsky, A., et al. Synchronization (Cambridge: Cambridge University Press, 2001).

    Book  Google Scholar 

  13. Schelter, B., et al. Phys. Rev. Lett. 96 (2006) 208103.

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Ritsumeikan University, Kusatsu, Shiga, 525-8577, Japan

    Isao Tokuda

  2. Department of Mechanical Engineering, Graduate School of Engineering, Osaka Prefecture University, Sakai, Osaka, 599-8531, Japan

    Hirokazu Fukuda

  3. PRESTO, Japan Science and Technology Agency (JST), Kawaguchi, Saitama, 332-0012, Japan

    Hirokazu Fukuda & Naoto Hayasaka

  4. Department of Neuroscience, Graduate School of Medicine, Yamaguchi University, Ube, Yamaguchi, 755-8505, Japan

    Naoto Hayasaka

Authors
  1. Isao Tokuda
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  2. Hirokazu Fukuda
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  3. Naoto Hayasaka
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Corresponding author

Correspondence to Isao Tokuda .

Editor information

Editors and Affiliations

  1. Lab. for Dynamics of Emergent Intelligen, RIKEN Brain Science Institute Lab. for Dynamics of Emergent Intelligen, Wako City, Japan

    Yoko Yamaguchi

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Tokuda, I., Fukuda, H., Hayasaka, N. (2013). Oscillator Network Modeling of Circadian Rhythm in the Suprachiasmatic Nucleus. In: Yamaguchi, Y. (eds) Advances in Cognitive Neurodynamics (III). Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4792-0_26

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