Computational modeling of circadian firing activity in single suprachiasmatic nucleus neuron = 시교차상핵 신경세포의 일주기변화에 대한 컴퓨터 모델링

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The suprachiasmatic nucleus(SCN) is a self-sustained circadian rhythm generator in the mammal. The internal molecular oscillations create circadian change of physiological signals those come out with high firing frequency in day time and low firing frequency at night. The underlying physiological mechanism and relationship between components of contributed channels are still unknown. We tried to find a biologically faithful model simulation of SCN channel contribution to circadian rhythm. We constructed computational model of spontaneous firing SCN neuron and tested with experimental evidences in previous studies. After verification of the model, we investigated spontaneous firing rate (SFR) with variations of conductance in specific channels mainly contributing SFR change. Simulation of channels correlated with SFR and reconstruction of day/night circadian rhythmic firing rate change could show the underlying principles of physiological mechanisms in SCN neuron. We also checked the circadian firing rhythm with conductance change in time and predicted cuspidal shape of conductance change for sinusoidal circadian firing pattern. With these predicted parameters we reproduced sinusoidal circadian firing rhythm. This study showed the possibility of controlling multi variables with voluntary time with SCN neuron model and developing model of SCN neuron activities (i.e. network model).
Advisors
Lee, Kwang-Hyungresearcher이광형researcher
Description
한국과학기술원 : 바이오및뇌공학과,
Publisher
한국과학기술원
Issue Date
2007
Identifier
268811/325007  / 020053799
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 바이오및뇌공학과, 2007. 8, [ iv, 23 p. ]

Keywords

SCN neuron; computational model; physiological property; ion channel conductance; 시교차상핵 신경세포; 컴퓨터 모델링; 전기생리학적 특성; 이온 채널 컨덕턴스; SCN neuron; computational model; physiological property; ion channel conductance; 시교차상핵 신경세포; 컴퓨터 모델링; 전기생리학적 특성; 이온 채널 컨덕턴스

URI
http://hdl.handle.net/10203/27142
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=268811&flag=dissertation
Appears in Collection
BiS-Theses_Master(석사논문)
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