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Dynamical Systems in Neuroscience:

Dynamical Systems in Neuroscience:

Dynamical Systems in Neuroscience:

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Synchronization (see www.izhikevich.com) 471amplitude of stimulation, A1:61:4synchronization1:2 3:21:11:3 2:32:15:20T/4 T/3 T/2 3T/4 T 5T/4 3T/2 7T/4 2T 9T/4 5T/2period of stimulation, TsFigure 10.15: Arnold tongues are regions of existence of various phase-locked states onthe “period-strength” plane.cycle slipp<strong>in</strong>gT/2Po<strong>in</strong>care phase mapn+1=f( n)0?ghost ofattractor-T/2-T/2 0 n T/2Figure 10.16: Cycle slipp<strong>in</strong>g phenomenon at the edge of the Arnold tongue correspond<strong>in</strong>gto a synchronized state.fold fixed po<strong>in</strong>t becomes a ghost attractor that traps orbits and keeps them near thesynchronized state for a long period of time. Eventually the orbit escapes, the synchronizedstate is briefly lost, and then the orbit returns to the ghost attractor to betrapped aga<strong>in</strong>. Such an <strong>in</strong>termittently synchronized orbit typically corresponds to ap:q-phase-locked state with high order of lock<strong>in</strong>g p + q.10.2 Weak Coupl<strong>in</strong>gIn this section we consider dynamical systems of the formẋ = f(x) + εp(t) , (10.5)describ<strong>in</strong>g periodic oscillators, ẋ = f(x), forced by a time-depended <strong>in</strong>put εp(t), e.g.,from other oscillators <strong>in</strong> a network. The positive parameter ε measures the overallstrength of the <strong>in</strong>put, and it is assumed to be sufficiently small, denoted as ε ≪ 1. Wedo not assume ε → 0 here. In fact, most of the results <strong>in</strong> this section can be cast <strong>in</strong>

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