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Dynamical Systems in Neuroscience:

Dynamical Systems in Neuroscience:

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344 Burst<strong>in</strong>gmembranepotential (mV)-20-40-60I(t)I(t)slow K + activationgate, n slow0.060.040.0200 20 40time (ms)a00 50 100 150 200time (ms)bFigure 9.4: Intr<strong>in</strong>sic burst<strong>in</strong>g <strong>in</strong> the I Na,p +I K +I K(M) -model (7.1) consist<strong>in</strong>g of theI Na,p +I K -model with parameters as <strong>in</strong> Fig. 4.1a and fast K + current (g K = 9, τ(V ) =0.152) and a slow K + current with g slow = 5, V 1/2 = −20 mV, k = 5 mV andτ slow (V ) = 20 ms. (a) Burst excitability when I = 0. (b) Periodic burst<strong>in</strong>g whenI = 5.there is a coexistence of the rest<strong>in</strong>g and spik<strong>in</strong>g states. The brief pulse of currentexcites the neuron, i.e., moves its state <strong>in</strong>to the attraction doma<strong>in</strong> of the spik<strong>in</strong>g limitcycle and <strong>in</strong>itiates periodic activity. Without any other modification, the model wouldproduce an <strong>in</strong>f<strong>in</strong>ite spike tra<strong>in</strong>. To stop the tra<strong>in</strong>, we added a slower high-thresholdpersistent K + current similar to I K(M) that provides a negative feedback. This M-current is deactivated at rest. However, dur<strong>in</strong>g the active (spik<strong>in</strong>g) phase, the currentslowly activates, as <strong>in</strong>dicated by the slow build-up of its gat<strong>in</strong>g variable n slow <strong>in</strong> thefigure. The neuron becomes less and less excitable, and eventually cannot susta<strong>in</strong>spik<strong>in</strong>g activity. If, <strong>in</strong>stead of a pulse of current, a constant current is applied, theneuron can burst periodically, as <strong>in</strong> Fig. 9.4b.This model presents only one of many possible examples of bursters, which we study<strong>in</strong> this chapter. However, it illustrates a number of important issues common to allbursters. For <strong>in</strong>stance, <strong>in</strong> contrast to the forced burst<strong>in</strong>g <strong>in</strong> Fig. 9.3, this burst<strong>in</strong>g is<strong>in</strong>tr<strong>in</strong>sic or autonomous. This stereotypical burst<strong>in</strong>g pattern results from the <strong>in</strong>tr<strong>in</strong>sicvoltage-sensitive currents, and not from a time-dependent <strong>in</strong>put. The behavior <strong>in</strong>Fig. 9.4a is called burst excitability to emphasize that the model is an excitable systemwith the exception that superthreshold stimulation elicits a burst of spikes <strong>in</strong>stead of as<strong>in</strong>gle spike. Hippocampal pyramidal neurons of the type “grade III bursters” depicted<strong>in</strong> Fig. 8.34Eb exhibit burst excitability.Biologists sometimes refer to the burst<strong>in</strong>g <strong>in</strong> Fig. 9.4b as be<strong>in</strong>g conditional, becauserepetitive burst<strong>in</strong>g occurs when a certa<strong>in</strong> condition is satisfied, e.g., positive I is <strong>in</strong>-

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