DocumentCode :
3481381
Title :
Macroscopic currents based Markovian model for sodium channels in cerebellar Purkinje neurons
Author :
Özkaner, Vedat ; Kayikcioglu, T.
Author_Institution :
Elektrik ve Elektron. Muhendisligi Bolumu, Karadeniz Tech. Univ., Trabzon, Turkey
fYear :
2004
fDate :
28-30 April 2004
Firstpage :
164
Lastpage :
167
Abstract :
In this study, a Markovian model for gating kinetics of sodium channel in dissociated cerebellar Purkinje neurons is developed. This model is developed based on voltage-clamped, resurgent and action potential evoked currents, known as macroscopic currents. The model is similar to the sodium model developed by Bean and Raman with some modifications made in the number of states and channel rate constants. Model parameters are determined by minimizing the error between model responses and three experimental data sets. The model reproduces quantitatively all features of the experimental data sets, with minor discrepancies.
Keywords :
Markov processes; bioelectric potentials; brain; medical signal detection; sodium; Markovian model; action potential evoked currents; channel rate constants; dissociated cerebellar Purkinje neurons; error minimization; gating kinetics; macroscopic currents; model responses; resurgent currents; sodium channels; voltage-clamped currents; Bean model; In vivo; Kinetic theory; Marine vehicles; Neurons; Reactive power; Testing; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference, 2004. Proceedings of the IEEE 12th
Print_ISBN :
0-7803-8318-4
Type :
conf
DOI :
10.1109/SIU.2004.1338284
Filename :
1338284
Link To Document :
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