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Dynamical Systems in Neuroscience:

Dynamical Systems in Neuroscience:

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238 Excitability(a) rest<strong>in</strong>g spik<strong>in</strong>g (b) spik<strong>in</strong>g rest<strong>in</strong>g (c)Class 2 Class 1800F-I curveI=4.51spik<strong>in</strong>gI=3.08frequency, Hz(b)Class 1Class 2(a)rest<strong>in</strong>gspik<strong>in</strong>grest<strong>in</strong>g02 4 6current, IFigure 7.13: (a) The frequency of emerg<strong>in</strong>g oscillations at the transition “rest<strong>in</strong>g →spik<strong>in</strong>g” def<strong>in</strong>es the class of excitability. (b) The frequency of disappear<strong>in</strong>g oscillationsat the transition “spik<strong>in</strong>g → rest<strong>in</strong>g def<strong>in</strong>es the class of spik<strong>in</strong>g. (c) The I Na,p +I K -model with high-threshold K + current exhibits class 2 excitability but class 1 spik<strong>in</strong>g.Its F-I curve has a hysteresis.used when determ<strong>in</strong><strong>in</strong>g experimentally the class of excitability; only spike tra<strong>in</strong>s withregular <strong>in</strong>terspike periods should be accepted to measure the F-I relations.7.1.7 Class 1 and 2 spik<strong>in</strong>gThe class of excitability is determ<strong>in</strong>ed by the frequency of emerg<strong>in</strong>g oscillations atthe transition “rest<strong>in</strong>g → spik<strong>in</strong>g”, as <strong>in</strong> Fig. 7.13a. Let us look at the frequencyof disappear<strong>in</strong>g oscillations at the transition “spik<strong>in</strong>g → rest<strong>in</strong>g”. To <strong>in</strong>duce such atransition, we <strong>in</strong>ject a strong pulse of dc-current of slowly decreas<strong>in</strong>g amplitude, as <strong>in</strong>Fig. 7.13b. Similarly to the Hodgk<strong>in</strong>’s classification of excitability, we say that a neuronhas Class 1 spik<strong>in</strong>g if the frequency-current (F-I) curve at the transition “spik<strong>in</strong>g →rest<strong>in</strong>g” decreases to zero, as <strong>in</strong> Fig. 7.13c, and Class 2 spik<strong>in</strong>g if it stops at a certa<strong>in</strong>non-zero value.The class of excitability co<strong>in</strong>cides with the class of spik<strong>in</strong>g when the transitions“rest<strong>in</strong>g ↔ spik<strong>in</strong>g” occur via saddle-node on <strong>in</strong>variant circle bifurcation or supercriticalAndronov-Hopf bifurcation. Indeed, if the current ramps are sufficiently slow, theneuron as a dynamical system goes through the same bifurcation, just <strong>in</strong> the oppositedirections. The classes may differ when the bifurcation is of the saddle-node (off <strong>in</strong>variantcircle) type or subcritical Andronov-Hopf type because of the bistability of therest<strong>in</strong>g and spik<strong>in</strong>g states. Such a bistability results <strong>in</strong> the hysteresis behavior of thesystem when the <strong>in</strong>jected current I <strong>in</strong>creases and decreases slowly, which may result<strong>in</strong> the hysteresis of the F-I curve. For example, the transition “rest<strong>in</strong>g → spik<strong>in</strong>g” <strong>in</strong>Fig. 7.13a occurs via saddle-node bifurcation at I = 4.51, and the frequency of spik<strong>in</strong>gequals the frequency of the limit cycle attractor, which is non-zero at this value of I.Decreas<strong>in</strong>g I results <strong>in</strong> the transition “spik<strong>in</strong>g → rest<strong>in</strong>g” via the saddle homocl<strong>in</strong>ic

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