12.07.2015 Views

Dynamical Systems in Neuroscience:

Dynamical Systems in Neuroscience:

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Conductance-Based Models 137resonant gat<strong>in</strong>g variables<strong>in</strong>activation of<strong>in</strong>ward currentactivation ofoutward currentamplify<strong>in</strong>g gat<strong>in</strong>g variablesactivation of<strong>in</strong>ward current<strong>in</strong>activation ofoutward currentI Na,t -modelI Na,p +I h -modelI Kir +I h -modelI Na,p +I K -modelI Kir +I K -modelI A -modelFigure 5.3: Any comb<strong>in</strong>ation of oneamplify<strong>in</strong>g and one resonant gat<strong>in</strong>gvariables results <strong>in</strong> a spik<strong>in</strong>g model.variable acts as a band-pass filter; It has no effect on oscillations with a period muchsmaller than its time constant. It damps oscillations hav<strong>in</strong>g period much larger than itstime constant, because the variable oscillates <strong>in</strong> phase with the voltage fluctuations; Itamplifies oscillations with a period that is about the same as its time constant becausethe variable lags the voltage fluctuations.S<strong>in</strong>ce the amplify<strong>in</strong>g gat<strong>in</strong>g variable, say m, has relatively fast k<strong>in</strong>etics, it can bereplaced by its equilibrium (steady-state) value m ∞ (V ). This allows to reduce thedimension of the m<strong>in</strong>imal models from three (say V , m, n) to two (V and n).Two amplify<strong>in</strong>g and two resonant gat<strong>in</strong>g variables produce four different comb<strong>in</strong>ations,depicted <strong>in</strong> Fig. 5.3. However, the number of m<strong>in</strong>imal models is not four, but six.The additional models arise due to the fact that a pair of gat<strong>in</strong>g variables may describeactivation/<strong>in</strong>activation properties of the same current or of two different currents. Forexample, the activation and <strong>in</strong>activation gat<strong>in</strong>g variables m and h may describe thedynamics of a transient <strong>in</strong>ward current, such as I Na,t , or the dynamics of a comb<strong>in</strong>ationof one persistent <strong>in</strong>ward current, such as I Na,p , and one “hyperpolarization-activated”<strong>in</strong>ward current, such as I h . Hence this pair results <strong>in</strong> two models, I Na,t - and I Na,p +I h -model. Similarly, the pair of activation and <strong>in</strong>activation variables of an outward currentmay describe the dynamics of the same transient current, such as I A , or the dynamicsof two different outward currents, hence the two models, I A - and I Kir +I K -model.Below we present the geometrical analysis of the six m<strong>in</strong>imal voltage-gated modelsshown <strong>in</strong> Fig. 5.3. Though based on different ionic currents, the models have manysimilarities from the dynamical systems po<strong>in</strong>t of view. In particular, all can exhibitsaddle-node and Andronov-Hopf bifurcations. For each model we first provide a worddescription of the mechanism of generation of susta<strong>in</strong>ed oscillations, and then usephase plane analysis to provide a geometrical description. The first two, I Na,p +I K -and I Na,t -models are common; they describe the mechanism of generation of actionpotentials or subthreshold oscillations by many cells. The other four models are rare;they even might be classified as weird or bizarre by biologists, s<strong>in</strong>ce these models reveal

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