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Dynamical Systems in Neuroscience:

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Conductance-Based Models 135Hodgk<strong>in</strong>-HuxleyTransient Na Current (m,h)Persistent K Current (n)Leak CurrentRemove nRemove hand LeakTransient Na Current (m,h)Leak CurrentPersistent Na Current (m)Persistent K Current (n)M<strong>in</strong>imal ModelshGat<strong>in</strong>g forInactivationof Na CurrentmGat<strong>in</strong>g forActivationof Na CurrentnGat<strong>in</strong>g forActivationof K CurrentLeak CurrentGat<strong>in</strong>g variablesFigure 5.1: The Hodgk<strong>in</strong>-Huxley model (top box) is a comb<strong>in</strong>ation of m<strong>in</strong>imal models(shaded boxes on second level). Each m<strong>in</strong>imal model can oscillate at least for somevalues of its parameters.be reduced to planar systems, which are amenable to analysis us<strong>in</strong>g geometrical phaseplane methods. In Sect. 5.2 we discuss other methods of reduction of multi-dimensionalmodels, e.g., the Hodgk<strong>in</strong>-Huxley model, to planar systems.There are only few m<strong>in</strong>imal models, and understand<strong>in</strong>g their dynamics can shedlight on dynamics of more complicated electrophysiological models. However, thereader should be aware of limitations of such an approach: Understand<strong>in</strong>g m<strong>in</strong>imalmodels cannot provide exhaustive <strong>in</strong>formation about all electrophysiological models(the same way as understand<strong>in</strong>g the zeros of the equations y = x, and y = x 2 does notprovide complete <strong>in</strong>formation about the zeros of the equation y = x + x 2 ).5.1.1 Amplify<strong>in</strong>g and resonant gat<strong>in</strong>g variablesThe def<strong>in</strong>ition of the m<strong>in</strong>imal models <strong>in</strong>volves a top-down approach: Take a complicatedmodel and strip it down to m<strong>in</strong>imal ones. It is unlikely that this could be done for all2 30 or so electrophysiological models. Instead, we employ here a bottom-up approach,which is based on the follow<strong>in</strong>g rule of thumb: A mixture of one amplify<strong>in</strong>g and oneresonant (recovery) gat<strong>in</strong>g variable (plus an Ohmic leak current) results <strong>in</strong> a m<strong>in</strong>imalmodel. Indeed, neither of the variables alone can produce oscillation, but together they

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