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Determining the robustness of signal transduction systems : a case study on neuronsMarhl, Marko ; Perc, MatjažIn biological signal transduction systems robustness is one of the key system properties that assure reliable and immutable signal processing within and among cells in the tissue. Since signal ... transduction systems have to respond also very sensitively and flexibly to weak external stimuli, they posses several states, which differ in their robustness. The question arises, how to mathematicaly quantify and measure the robustness of a particular state. We analyse the robustness of oscillatory states in a mathematical model of an excitable neuron. In accordance with our previous studies for calcium dynamics, we show that the robustness of a particular oscillatory state can be determined by the divergence calculated along the trajectory of the corresponding attractor.Vir: WSEAS transactions on biology and biomedicine. - ISSN 1109-9518 (Vol. 1, iss. 4, Oct. 2004, str. 379-383)Vrsta gradiva - prispevek na konferenci ; neleposlovje za odrasleLeto - 2004Jezik - angleškiCOBISS.SI-ID - 13687816
Avtor
Marhl, Marko |
Perc, Matjaž
Teme
dinamični sistemi |
fleksibilnost sistemov |
robustnost sistemov |
merjenja |
nevroni |
nevronski sistemi |
oscilacije |
zunanje siljenje |
divergence |
dynamical systems |
flexible systems |
robust systems |
robustness |
measurments |
neurons |
neuronal systems |
oscillations |
bursting |
external forsing |
divergence
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vir: WSEAS transactions on biology and biomedicine. - ISSN 1109-9518 (Vol. 1, iss. 4, Oct. 2004, str. 379-383)
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Marhl, Marko | 13159 |
Perc, Matjaž | 23428 |
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