Estimation of Action Potential of the Cellular Membrane using Support Vectors Machines

In this article an application of the support vectors machines (SVM) is presented in the problem of the estimate of the action potential of the cellular membrane V, which is, a temporary function, highly non-linear, of the ionic concentrations of sodium and potassium. A model, for the estimate of V, is the Hodgkin-Huxley (HH) model that describes the dynamics of V similar to an electric circuit with passive elements representing the biochemical variables involved in the process. SVM are algorithms of emergent computation that have demonstrated an excellent performance in classification and regression applications; in this article they are used for the estimate of V and the result is compared with that obtained using HH, demonstrating that SVM are a promising alternative in modelling problem of biological processes