Oscillator network modeling of SCN neurons and its application to circadian rhythm

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Towards comprehensive understanding of mammalian circadian rhythm, this project attempts to construct a mathematical model of neuronal network in the suprachiasmatic nucleus (SCN) using the recording data from physiological experiment. From the recording data of a rat SCN slice, network topology of the SCN neurons was estimated. The estimated network model was capable of reproducing the phase wave propagation, which is widely observed in the experiment. The phase wave is considered to play an important role for resolving the jet-lag problem. Next, as a preliminary experiment to control the circadian rhythm, delayed feedback technique was applied to a network of electrochemical oscillators to control the cluster states. Moreover, light pulse was injected to a plant leaf to desynchronize and resynchronize the plant circadian system.