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
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;
Conference_Titel :
Signal Processing and Communications Applications Conference, 2004. Proceedings of the IEEE 12th
Print_ISBN :
0-7803-8318-4
DOI :
10.1109/SIU.2004.1338284