12.07.2015 Views

Dynamical Systems in Neuroscience:

Dynamical Systems in Neuroscience:

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234 Excitability0.20.150.10.05I 1I 1I 1K + gat<strong>in</strong>g variable, nI 0I 00-70 -60 -50 -40 -70 -60 -50 -40 -70 -60 -50 -40membrane potential, V (mV) membrane potential, V (mV) membrane potential, V (mV)0-20-40-60-80V(t)I 1 I 1II(t)1I 0I 0slow ramp from I 0 to I 1step from I 0 to I 1 shock pulse at I 1(a) (b) (c)Figure 7.9: The difference between ramp, step, and shock stimulation is <strong>in</strong> the resett<strong>in</strong>gof <strong>in</strong>itial condition.<strong>in</strong>g pulses of current. The system goes through a bifurcation of the equilibrium <strong>in</strong> theformer, but may bypass it and jump somewhere else <strong>in</strong> the latter.7.1.5 Ramps, steps, and shocksIn Fig. 7.9 we elaborate the difference between <strong>in</strong>ject<strong>in</strong>g slow ramps, steps, and shocks(i.e., brief pulses) of current. In the first two cases the magnitude of the <strong>in</strong>jected currentchanges from I 0 to I 1 , while <strong>in</strong> the third case the current is I 1 except the <strong>in</strong>f<strong>in</strong>itesimallybrief moment when it has an <strong>in</strong>f<strong>in</strong>itely large strength. In all three cases the dynamicsof the model can be understood via analysis of its phase portrait at I = I 1 . The keydifference among the stimulation protocols is how they reset the <strong>in</strong>itial condition.At the beg<strong>in</strong>n<strong>in</strong>g of the slow ramp <strong>in</strong> Fig. 7.9a, the state of the neuron is at thestable equilibrium. As the current slowly <strong>in</strong>creases, the equilibrium slowly moves, andthe trajectory follows it. When the current reaches I = I 1 , the trajectory is at the newequilibrium, so no response is evoked because the equilibrium is stable. In contrast,when the current is stepped from I 0 to I 1 <strong>in</strong> Fig. 7.9b, the location of the equilibriumchanges <strong>in</strong>stantaneously, but the membrane potential and the gat<strong>in</strong>g variables do nothave the time to catch up. To understand the response of the model to the step, we

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