12.07.2015 Views

Dynamical Systems in Neuroscience:

Dynamical Systems in Neuroscience:

Dynamical Systems in Neuroscience:

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464 Synchronization (see www.izhikevich.com)Type 1 (weak) resett<strong>in</strong>gType 0 (strong) resett<strong>in</strong>gphase resett<strong>in</strong>g0PRC( ) PRC( )phase resett<strong>in</strong>g00stimulus phase,20stimulus phase,2phase transition2PTC( )={ +PRC( )} modphase transition0PTC( )={ +PRC( )} mod00 2stimulus phase,0stimulus phase,2Figure 10.7: Types of phase resett<strong>in</strong>g of the Andronov-Hopf oscillator <strong>in</strong> Fig. 10.3.phase shifts are large and comparable with the period of oscillation. We present PTCs<strong>in</strong> this section solely for the sake of review, and we use PRCs throughout the rest ofthe chapter.In Fig. 10.7, top, we depict phase portraits of the Andronov-Hopf oscillator hav<strong>in</strong>gradial isochrons and receiv<strong>in</strong>g pulses of magnitude A = 0.5 (left) and A = 1.5 (right).Notice the drastic difference between the correspond<strong>in</strong>g PRCs or PTCs. W<strong>in</strong>free (1980)dist<strong>in</strong>guishes two cases:• Type 1 (weak) resett<strong>in</strong>g results <strong>in</strong> cont<strong>in</strong>uous PRCs and PTCs with mean slope1.• Type 0 (strong) resett<strong>in</strong>g results <strong>in</strong> discont<strong>in</strong>uous PRCs and PTCs with meanslope 0.(Do not confuse these classes with Class 1, 2, and 3 excitability.) The discont<strong>in</strong>uity

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