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Dynamical Systems in Neuroscience:

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498 Synchronization (see www.izhikevich.com)displaces the trajectory to the exterior of the limit cycle, as <strong>in</strong> Fig. 10.39b, pulse A,then the trajectory becomes closer to the saddle equilibrium when it reenters a smallneighborhood of the saddle, thereby lead<strong>in</strong>g to a significant phase delay. Displacementsto the <strong>in</strong>terior of the cycle, as <strong>in</strong> Fig. 10.39b, pulse B, push away from the saddleand lead to phase advances. The direction and the magnitude of displacements isdeterm<strong>in</strong>ed by the derivative of the slow variable n ′ along the limit cycle.The region of disagreement between theoretical and numerical PRCs becomes <strong>in</strong>f<strong>in</strong>itesimalrelative to T → ∞ near the bifurcation. Theoretical PRC can be used tostudy anti-phase and out-of-phase synchronization of pulse-coupled oscillators, but not<strong>in</strong>-phase synchronization, because the region of breakdown is the only important region<strong>in</strong> this case. F<strong>in</strong>ally notice that as T → ∞, the spik<strong>in</strong>g limit cycle fails to be exponentiallystable, and the theory of weakly coupled oscillators is no longer applicable toit.Though the PRC <strong>in</strong> Fig. 10.39 is quite different from the one correspond<strong>in</strong>g to SNICoscillators <strong>in</strong> Fig. 10.36, there is an <strong>in</strong>terest<strong>in</strong>g similarity between these two cases: Bothcan be reduced to quadratic <strong>in</strong>tegrate-and-fire neurons, both have cotangent-shapedperiodic spik<strong>in</strong>g solutions and s<strong>in</strong>e-squared-shape PRCs, except they are “regular” <strong>in</strong>the SNIC case and hyperbolic <strong>in</strong> the homocl<strong>in</strong>ic case; see also Ex. 26.10.4.4 Relaxation oscillators and FTMConsider two relaxation oscillators hav<strong>in</strong>g weak fast → fast connectionsµẋ i = f(x i , y i ) + εp i (x i , x k ) ,ẏ i = g(x i , y i ) ,(10.26)where i = 1, 2 and k = 2, 1. This system can be converted to a phase model <strong>in</strong>the relaxation limit ε ≪ µ → 0 (Izhikevich 2000). The connection functions H i (χ)have a positive discont<strong>in</strong>uity at χ = 0, which occurs because the x-coord<strong>in</strong>ate of therelaxation limit cycle is discont<strong>in</strong>uous at the jump po<strong>in</strong>ts. Hence, the phase differencefunction G(χ) = H 2 (−χ) − H 1 (χ) has a negative discont<strong>in</strong>uity at χ = 0 depicted <strong>in</strong>Fig. 10.31. This reflects the profound difference between behaviors of weakly coupledoscillators of relaxation and non-relaxation type, discussed <strong>in</strong> Sect. 10.3.1: The <strong>in</strong>phasesynchronized solution, χ = 0, <strong>in</strong> the relaxation limit µ → 0 is stable, persistent<strong>in</strong> the presence of frequency mismatch ω, and it has a rapid rate of convergence.The reduction to a phase model breaks down when ε ≫ µ → 0, that is, when theconnections are relatively strong. One can still analyze such oscillators <strong>in</strong> the specialcase considered below.Fast threshold modulationConsider (10.26) and suppose that p 1 = p 2 = p is a piece-wise constant function: p = 1when the pre-synaptic oscillator, x k , is on the right branch of the cubic x-nullcl<strong>in</strong>ecorrespond<strong>in</strong>g to an active state, and p = 0 otherwise; see Fig. 10.40a. Somers and

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