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Dynamical Systems in Neuroscience:

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142 Conductance-Based Modelshyperpolarizationdeactivationof I Na,pde<strong>in</strong>activationof I hleak currentor <strong>in</strong>jecteddc-current<strong>in</strong>activationof I hactivationof I Na,pdepolarizationFigure 5.7: Mechanism of generation of susta<strong>in</strong>edvoltage oscillations <strong>in</strong> the I Na,p +I h -model.a periodic trajectory with a long period (compare the time scales <strong>in</strong> the bottom <strong>in</strong>sets<strong>in</strong> Fig. 5.6a and b).When the Na + <strong>in</strong>activation curve h ∞ (V ) has a low threshold, the nullcl<strong>in</strong>es haveonly one <strong>in</strong>tersection, hence there is only one equilibrium, as <strong>in</strong> Fig. 5.6b. WhenI = 0, the equilibrium (filled circle) is stable and all trajectories converge to it. Thereare damped oscillations near the equilibrium, though they can hardly be seen <strong>in</strong> thefigure. The oscillations occur because the I Na,t current is partially <strong>in</strong>activated at rest.An <strong>in</strong>crease of V leads to more <strong>in</strong>activation, less <strong>in</strong>ward current, and hence rebounddecrease of V , which <strong>in</strong> turn leads to partial de<strong>in</strong>activation, more <strong>in</strong>ward current, andrebound <strong>in</strong>crease of V . When the applied dc-current I <strong>in</strong>creases, the equilibrium losesstability via Andronov-Hopf bifurcation. When I = 4, the equilibrium is an unstablefocus (white circle <strong>in</strong> the figure), and there is a stable limit cycle attractor around itcorrespond<strong>in</strong>g to periodic spik<strong>in</strong>g.We see that the I Na,t -model exhibits essentially the same dynamic repertoire as theI Na,p +I K -model, even though the models are quite different from the electrophysiologicalpo<strong>in</strong>t of view.5.1.4 I Na,p +I h -modelThe systemI Na,pleak IC ˙V{ }} L{ { }} { { }} {= I − g L (V −E L ) − g Na m(V − E Na ) − g h h(V − E h ) ,ṁ = (m ∞ (V ) − m)/τ m (V ) ,ḣ = (h ∞ (V ) − h)/τ h (V ) ,I his believed to describe the essence of the mechanism of slow subthreshold voltage oscillations<strong>in</strong> some cortical, thalamic, and hippocampal neurons, which we summarize<strong>in</strong> Fig. 5.7. As any other m<strong>in</strong>imal model <strong>in</strong> this section, it consists of one amplify<strong>in</strong>g(I Na,p ) and one resonant (I h ) current. Both currents may be partially active at rest<strong>in</strong>gvoltage. Recall that we treat the h-current as be<strong>in</strong>g an <strong>in</strong>ward current that is alwaysactivated (its activation variable m = 1 all the time), but can be <strong>in</strong>activated (turned

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