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Dynamical Systems in Neuroscience:

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10 Introductionspik<strong>in</strong>gmoderest<strong>in</strong>g modeFigure 1.10: Rhythmic transitions between rest<strong>in</strong>g and spik<strong>in</strong>g modes result <strong>in</strong> burst<strong>in</strong>gbehavior.layer 5 pyramidal cellbra<strong>in</strong>stem mesV celltransition20 mVtransition-60 mV-50 mV200 pA3000 pA0 pA500 ms0 pA500 msFigure 1.11: As the magnitude of the <strong>in</strong>jected current slowly <strong>in</strong>creases, the neuronsbifurcate from rest<strong>in</strong>g (equilibrium) to tonic spik<strong>in</strong>g (limit cycle) modes.systems po<strong>in</strong>t of view, the state of such a neuron has a stable limit cycle, also knownas a periodic orbit. The electrophysiological details of the neuron, i.e., the numberand the type of currents it has, their k<strong>in</strong>etics, etc., determ<strong>in</strong>e only the location, theshape and the period of the limit cycle. As long as the limit cycle exists, the neuroncan have periodic spik<strong>in</strong>g activity. Of course, equilibria and limit cycles can co-exist,so a neuron can be switched from one mode to another one by a transient <strong>in</strong>put. Thefamous example is the permanent ext<strong>in</strong>guish<strong>in</strong>g of ongo<strong>in</strong>g spik<strong>in</strong>g activity <strong>in</strong> the squidgiant axon by a brief transient depolariz<strong>in</strong>g pulse of current applied at a proper phase(Guttman et al. 1980) — a phenomenon predicted by John R<strong>in</strong>zel (1978) purely onthe basis of theoretical analysis of the Hodgk<strong>in</strong>-Huxley model. The transition betweenrest<strong>in</strong>g and spik<strong>in</strong>g modes could be triggered by <strong>in</strong>tr<strong>in</strong>sic slow conductances, result<strong>in</strong>g<strong>in</strong> the burst<strong>in</strong>g behavior <strong>in</strong> Fig. 1.10.1.2.2 BifurcationsNow suppose that the magnitude of the <strong>in</strong>jected current is a parameter that we cancontrol, e.g., we can ramp it up as <strong>in</strong> Fig. 1.11. Each cell <strong>in</strong> the figure is quiescentat the beg<strong>in</strong>n<strong>in</strong>g of the ramps, so its phase portrait has a stable equilibrium and it

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