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Dynamical Systems in Neuroscience:

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136 Conductance-Based Models<strong>in</strong>ward(Na, Ca)currentsoutward(K, Cl)amplify<strong>in</strong>gresonantactivation, mreversepotentialreversepotentialgat<strong>in</strong>g<strong>in</strong>activation, hresonantreversepotentialreversepotentialamplify<strong>in</strong>gFigure 5.2: Gat<strong>in</strong>g variables maybe amplify<strong>in</strong>g or resonant depend<strong>in</strong>gon whether they represent activation/<strong>in</strong>activationof <strong>in</strong>ward/outwardcurrents (see also Fig. 3.3 andFig. 3.4).can, as we will see below.The amplify<strong>in</strong>g gat<strong>in</strong>g variable is the activation variable m for voltage-gated <strong>in</strong>wardcurrent or <strong>in</strong>activation variable h for voltage-gated outward current, as <strong>in</strong> Fig. 5.2.These variables amplify voltage changes via a positive feedback loop. Indeed, a smalldepolarization <strong>in</strong>creases m and decreases h, which <strong>in</strong> turn <strong>in</strong>crease <strong>in</strong>ward and decreaseoutward currents and <strong>in</strong>crease depolarization. Similarly, a small hyperpolarizationdecreases m and <strong>in</strong>creases h, result<strong>in</strong>g <strong>in</strong> less <strong>in</strong>ward and more outward current, andhence <strong>in</strong> more hyperpolarization.The resonant gat<strong>in</strong>g variable is the <strong>in</strong>activation variable h for an <strong>in</strong>ward current oractivation variable n for an outward current. These variables resist voltage changes viaa negative feedback loop. A small depolarization decreases h and <strong>in</strong>creases n, which <strong>in</strong>turn decrease <strong>in</strong>ward and <strong>in</strong>crease outward currents and produce a net outward currentthat resists the depolarization. Similarly, a small hyperpolarization produces <strong>in</strong>wardcurrent and possibly rebound depolarization.Currents with amplify<strong>in</strong>g gat<strong>in</strong>g variables can result <strong>in</strong> bistability, and they behaveessentially like the I Na,p -model or I Kir -model considered <strong>in</strong> Chap. 3. Currents withresonant gat<strong>in</strong>g variables have one stable equilibrium with possibly damped oscillation,and they behave essentially like the I K -model or I h model (compare Fig. 5.2 withFig. 3.3). A typical neuronal model consists of at least one amplify<strong>in</strong>g and at least oneresonant gat<strong>in</strong>g variable. Amplify<strong>in</strong>g and resonant gat<strong>in</strong>g variables for Ca 2+ -sensitivecurrents are discussed at the end of this chapter.To get spikes <strong>in</strong> a m<strong>in</strong>imal model, we need a fast positive feedback and a slowernegative feedback. Indeed, if an amplify<strong>in</strong>g gat<strong>in</strong>g variable has a long time constant,it would act more as a low-pass filter, hardly affect<strong>in</strong>g fast fluctuations, and onlyamplify<strong>in</strong>g slow fluctuations. If a resonant gat<strong>in</strong>g variable has a fast time constant,it would act to damp <strong>in</strong>put fluctuations (faster than they could be amplified by theamplify<strong>in</strong>g variable), result<strong>in</strong>g <strong>in</strong> stability of the rest<strong>in</strong>g state. Instead, the resonant

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