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Dynamical Systems in Neuroscience:

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Solutions to Exercises, Chap. 9 437Saddle-NodeSeparatrix LoopSaddle-Nodeon InvariantCircleSpikeInvariantFoliationFigure 10.39: A small neighborhood of the saddle-node po<strong>in</strong>t can be <strong>in</strong>variantly foliated by stablesubmanifolds.for all µ and a > 0, which is stable when a > 1. When a decreases and passes an µ-neighborhoodof a = 1, the equilibrium loses stability via Andronov-Hopf bifurcation. When 0 < a < 1, thesystem has a limit cycle attractor. Therefore, the canonical model exhibits burst<strong>in</strong>g behavior.The smaller the value of a, the longer the <strong>in</strong>terburst period. When a → 0, the <strong>in</strong>terburst periodbecomes <strong>in</strong>f<strong>in</strong>ite.15. Take w = I − u. Then (9.7) becomes˙v = v 2 + w ,ẇ = µ(I − w) ≈ µI .16. Let us sketch the derivation. S<strong>in</strong>ce the fast subsystem is near saddle-node homocl<strong>in</strong>ic orbitbifurcation for some u = u 0 , a small neighborhood of the saddle-node po<strong>in</strong>t v 0 is <strong>in</strong>variantlyfoliated by stable submanifolds, as <strong>in</strong> Fig. 10.39. Because the contraction along the stablesubmanifolds is much stronger than the dynamics along the center manifold, the fast subsystemcan be mapped <strong>in</strong>to the normal form ˙v = q(u) + p(v − v 0 ) 2 by a cont<strong>in</strong>uos change of variables.When v escapes the small neighborhood of v 0 , the neuron is said to fire a spike, and v is resetv ← v 0 + c(u). Such a stereotypical spike also resets u by a constant d. If g(v 0 , u 0 ) ≈ 0, thenall functions are small, and l<strong>in</strong>earization and appropriate re-scal<strong>in</strong>g yields the canonical model.If g(v 0 , u 0 ) ≠ 0, then the canonical model has the same form as <strong>in</strong> the previous exercise.17. The derivation proceeds as <strong>in</strong> the previous exercise, yield<strong>in</strong>g˙v = I + v 2 + (a, u) ,˙u = µAu .where (a, u) is the scalar (dot) product of vectors a, u ∈ R 2 , and A is the Jacobian matrixat the equilibrium of the slow subsystem. If the equilibrium is a node, it has generically twodist<strong>in</strong>ct eigenvalues, and two real eigenvectors. In this case, the slow subsystem uncouples <strong>in</strong>totwo equations, each along the correspond<strong>in</strong>g eigenvector. Appropriate re-scal<strong>in</strong>g gives the firstcanonical model. If the equilibrium is a focus, the l<strong>in</strong>ear part can be made triangular to getthe second canonical model.18. The solution of the fast subsystem˙v = u + v 2 , v(0) = −1 ,with fixed u > 0 isv(t) = √ ( )√ut 1u tan − atan √u

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