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Dynamical Systems in Neuroscience:

Dynamical Systems in Neuroscience:

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Solutions to Exercises, Chap. 4 417abcdFigure 10.16: Approximate directions of the vector <strong>in</strong> each region between the nullcl<strong>in</strong>es.If ∆ < 0 (left half-plane <strong>in</strong> Fig. 4.15), then the eigenvalues have opposite signs. Indeed,√τ2− 4∆ > √ τ 2 = |τ| ,whenceτ + √ τ 2 − 4∆ > 0 and τ − √ τ 2 − 4∆ < 0 .The equilibrium is a saddle <strong>in</strong> this case. Now consider the case ∆ > 0. When τ 2 < 4∆ (<strong>in</strong>sidethe parabola <strong>in</strong> Fig. 4.15), the eigenvalues are complex-conjugate, hence the equilibrium is afocus. It is stable (unstable) when τ < 0 (τ > 0). When τ 2 > 4∆ (outside the parabola <strong>in</strong>Fig. 4.15), the eigenvalues are real. They both are negative (positive) when τ < 0 (τ > 0).5. (van der Pol oscillator) The nullcl<strong>in</strong>es of the van der Pol oscillator,y = x − x 3 /3 (x-nullcl<strong>in</strong>e) ,x = 0 (y-nullcl<strong>in</strong>e) ,are depicted <strong>in</strong> Fig. 10.22. There is a unique equilibrium (0, 0). The Jacobian matrix at theequilibrium has the form( )1 −1L =.b 0S<strong>in</strong>ce tr L = 1 > 0 and det L = b > 0, the equilibrium is always an unstable focus.6. (Bonhoeffer–van der Pol oscillator) The nullcl<strong>in</strong>es of the Bonhoeffer–van der Pol oscillator withc = 0 have the formy = x − x 3 /3 (x-nullcl<strong>in</strong>e) ,x = a (y-nullcl<strong>in</strong>e) ,

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