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Dynamical Systems in Neuroscience:

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One-Dimensional <strong>Systems</strong> 81200I-V relationsteady-state current (pA)0-200-400I=16I=-100I (V)-600-800-100 -80 -60 -40 -20 0 20 40membrane potential, V (mV)Figure 3.31: Equilibria are <strong>in</strong>tersectionsof the steady-state I-V curveI ∞ (V ) and a horizontal l<strong>in</strong>e I = const.equilibria coalesce and annihilate each other. As the parameter varies from right toleft, two equilibria — one stable and one unstable — appear from a s<strong>in</strong>gle po<strong>in</strong>t. Thus,depend<strong>in</strong>g on the direction of movement of the bifurcation parameter, the saddle-nodebifurcation expla<strong>in</strong>s disappearance or appearance of a new stable state. In any case,the qualitative behavior of the systems changes exactly at the bifurcation po<strong>in</strong>t.3.3.7 Bifurcations and I-V record<strong>in</strong>gsIn general, determ<strong>in</strong><strong>in</strong>g saddle-node bifurcation diagrams of neurons may be a daunt<strong>in</strong>gmathematical task. However, it is a trivial exercise when the bifurcation parameteris the <strong>in</strong>jected dc-current I. In this case, the bifurcation diagram, such as the one<strong>in</strong> Fig. 3.30, is just the steady-state I-V relation I ∞ (V ) plotted on the (I, V )-plane.Indeed, the equationC ˙V = I − I ∞ (V ) = 0states that V is an equilibrium if and only if the net membrane current, I − I ∞ (V ), iszero. For example, equilibria of the I Na,p -model are solutions of the equation0 = I −I ∞ (V ){ }} {(g L (V − E L ) + g Na m ∞ (V )(V − E Na )) ,which follows directly from (3.5). In Fig. 3.31 we illustrate how to f<strong>in</strong>d the equilibriageometrically: We plot the steady-state I-V curve I ∞ (V ) and draw a horizontal l<strong>in</strong>ewith altitude I. Any <strong>in</strong>tersection satisfies the equation I = I ∞ (V ), and hence is anequilibrium (stable or unstable). Obviously, when I <strong>in</strong>creases past 16, the saddle-nodebifurcation occurs.Notice that the equilibria are po<strong>in</strong>ts on the curve I ∞ (V ), so flipp<strong>in</strong>g and rotat<strong>in</strong>g thecurve by 90 ◦ , as we do <strong>in</strong> Fig. 3.32, left, results <strong>in</strong> a complete saddle-node bifurcationdiagram. The diagram conveys <strong>in</strong> a very condensed manner all important <strong>in</strong>formationabout the qualitative behavior of the I Na,p -model. The three branches of the S-shapedcurve, which is the 90 ◦ -rotated and flipped copy of the N-shaped I-V curve, correspondto the rest, threshold, and excited states of the model. Each slice I = const represents

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