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Team:Valencia/StochasticApproach
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At this point, we are going to use stochastic methods in order to study the activation/inactivation of VDCCs. Unlike deterministic model, the voltage-dependent conductance for the calcium channels is now given by: | At this point, we are going to use stochastic methods in order to study the activation/inactivation of VDCCs. Unlike deterministic model, the voltage-dependent conductance for the calcium channels is now given by: | ||
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| + | [[Image:Stoc1.jpg|center]] | ||
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| + | Where the quotient <i>Q<sub>Ca</sub>/N<sub>Ca</sub></i> (number of calcium channels in open state / total number of calcium channels) means the activation variable and g ̅_Ca is the maximum calcium conductance. | ||
| + | Each calcium channel is a Markov process with some voltage-dependent transition rates. The kinetic scheme is the following: | ||
Revision as of 08:27, 7 September 2009
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Stochastic approach
At this point, we are going to use stochastic methods in order to study the activation/inactivation of VDCCs. Unlike deterministic model, the voltage-dependent conductance for the calcium channels is now given by:
Where the quotient QCa/NCa (number of calcium channels in open state / total number of calcium channels) means the activation variable and g ̅_Ca is the maximum calcium conductance. Each calcium channel is a Markov process with some voltage-dependent transition rates. The kinetic scheme is the following:
