12.07.2015 Views

Dynamical Systems in Neuroscience:

Dynamical Systems in Neuroscience:

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Two-Dimensional <strong>Systems</strong> 1110.60.5n-nullcl<strong>in</strong>e0.4K + activation variable, n0.30.2V-nullcl<strong>in</strong>e0.10-0.1-80 -70 -60 -50 -40 -30 -20 -10 0 10 20membrane voltage, V (mV)Figure 4.19: Phase portrait of the I Na,p +I K -model hav<strong>in</strong>g high-threshold K + current.n < 0, we cannot <strong>in</strong>terpret the result. As an exercise, prove that if all gat<strong>in</strong>g variablesof a model are <strong>in</strong>itially <strong>in</strong> the range [0, 1], then they stay <strong>in</strong> the range for all t ≥ 0.4.2.6 Example: FitzHugh-Nagumo modelThe FitzHugh-Nagumo model (FitzHugh 1961, Nagumo et al. 1962)˙V = V (a − V )(V − 1) − w + I , (4.11)ẇ = bV − cw , (4.12)imitates generation of action potentials by Hodgk<strong>in</strong>-Huxley-type models hav<strong>in</strong>g cubic(N-shaped) nullcl<strong>in</strong>es as <strong>in</strong> Fig. 4.4. Here V mimics the membrane voltage and the“recovery” variable w mimics activation of an outward current. Parameter I mimicsthe <strong>in</strong>jected current, and for the sake of simplicity we set I = 0 <strong>in</strong> our analysis below.Parameter a describes the shape of the cubic parabola V (a−V )(V −1), and parametersb > 0 and c ≥ 0 describe the k<strong>in</strong>etics of the recovery variable w. When b and c aresmall, the model may exhibit relaxation oscillations.The nullcl<strong>in</strong>es of the FitzHugh-Nagumo model have the cubic and l<strong>in</strong>ear formw = V (a − V )(V − 1) + Iw = b/c V(V -nullcl<strong>in</strong>e),(w-nullcl<strong>in</strong>e),

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