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Dynamical Systems in Neuroscience:

Dynamical Systems in Neuroscience:

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Bifurcations 2051 2b1 2SN23 AH 41BT4a3 AH 4SHOAH2 3SN1SN 1 SN 2SN 1SN 2SHOsupercritical,BTSHOBTs0Figure 6.38: Bogdanov-Takens (BT) bifurcation diagram of the topological normal form(6.11). Abbreviations: AH - Andronov-Hopf bifurcation, SN - saddle-node bifurcation,SHO - saddle homocl<strong>in</strong>ic orbit bifurcation.has two bifurcation parameters, a and b, and the parameter σ = ±1 determ<strong>in</strong>es whetherthe bifurcation is subcritical or supercritical. This parameter depends on the comb<strong>in</strong>ationof the second-order partial derivatives with respect to the first variable, and it isnon-zero because of the non-degeneracy conditions (Kuznetsov 1995). Bifurcation diagramand representative phase portraits for various a, b and σ are depicted <strong>in</strong> Fig. 6.38(the case σ > 0 can be reduced to σ < 0 by the substitution t → −t and v → −v).A remarkable fact is that the saddle-node and the Andronov-Hopf bifurcations do notoccur alone. There is also a saddle homocl<strong>in</strong>ic orbit bifurcation appear<strong>in</strong>g near theBogdanov-Takens po<strong>in</strong>t.Bogdanov-Takens bifurcation occurs often <strong>in</strong> neuronal models with nullcl<strong>in</strong>es <strong>in</strong>tersect<strong>in</strong>gas <strong>in</strong> Fig. 6.39a. We show <strong>in</strong> the next chapter that this bifurcation separates<strong>in</strong>tegrators from resonators, and it could occur <strong>in</strong> some layer 5 pyramidal neurons ofrat visual cortex, as we discuss <strong>in</strong> Sect. 7.2.11 and Sect. 8.2.1. The two equilibria <strong>in</strong>the lower (left) knee of the fast nullcl<strong>in</strong>e <strong>in</strong> Fig. 6.39b are not necessarily a saddle anda stable node, but could be a saddle and an (un)stable focus, as <strong>in</strong> the phase portraits<strong>in</strong> Fig. 6.38.

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