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Dynamical Systems in Neuroscience:

Dynamical Systems in Neuroscience:

Dynamical Systems in Neuroscience:

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Burst<strong>in</strong>g 343Figure 9.2: Is burst<strong>in</strong>g a spik<strong>in</strong>g state <strong>in</strong>terrupted by periods of quiescence or is it aquiescent state <strong>in</strong>terrupted by groups of spikes?V(t)20 mV50 msI(t)Figure 9.3: Forced burst<strong>in</strong>g <strong>in</strong> the I Na,p +I K -model with parameters as <strong>in</strong> Fig. 4.1a andtime-dependent <strong>in</strong>jected current I(t).quiescent phase. Before proceed<strong>in</strong>g to a general case, let us consider a simple example.9.1.1 Example: The I Na,p +I K +I K(M) -modelAny model neuron capable of spik<strong>in</strong>g can also burst, as e.g., the I Na,p +I K -model <strong>in</strong>Fig. 9.3. However, this example is not <strong>in</strong>terest<strong>in</strong>g because the neuron is forced to burstby the time-dependent <strong>in</strong>put I(t).In contrast, a modification of the I Na,p +I K -model <strong>in</strong> Fig. 9.4 fires a burst of spikes<strong>in</strong> response to a brief pulse of current. The first spike <strong>in</strong> the burst is caused by thestimulation, but the subsequent spikes are generated autonomously due to the <strong>in</strong>tr<strong>in</strong>sicproperties of the neuron, and they outlast the stimulation. Such a burst is stereotypicaland fairly <strong>in</strong>dependent of the amplitude or the duration of the pulse that triggered it.To make the I Na,p +I K -model burst, we took parameters as <strong>in</strong> Fig. 6.7a, so that

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