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Dynamical Systems in Neuroscience:

Dynamical Systems in Neuroscience:

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Excitability 231layer 5 pyramidal cellbra<strong>in</strong>stem mesV celltransition20 mVtransition-60 mV-50 mV200 pA3000 pA0 pA500 ms0 pA500 msFigure 7.6: As the magnitude of <strong>in</strong>jected dc-current <strong>in</strong>creases, the neurons bifurcatesfrom rest<strong>in</strong>g to repetitive spik<strong>in</strong>g behavior. Shown are record<strong>in</strong>gs of the same neuronsas <strong>in</strong> Fig. 7.3. Notice that the ratio of the first and last <strong>in</strong>terspike <strong>in</strong>tervals of thepyramidal cell is much greater than that <strong>in</strong> mes V neuron.tra<strong>in</strong>s <strong>in</strong> another mesV neuron <strong>in</strong> Fig. 7.3, cannot evoke multiple spikes <strong>in</strong> this neuron.Similarly, the pyramidal neuron <strong>in</strong> Fig. 7.5 cannot susta<strong>in</strong> tonic spik<strong>in</strong>g even when the<strong>in</strong>jected current is ten times stronger than the neuron’s rheobase. Ironically, neuronsexhibit<strong>in</strong>g such a behavior would most likely be discarded as “sick” or “unhealthy”,though the neurons analyzed <strong>in</strong> the figures looked normal from any other po<strong>in</strong>t of view.We will study the dynamic mechanism of this class of excitability and show that it mayhave noth<strong>in</strong>g to do with sickness.It will be clear shortly that this classification is of limited value except that itpo<strong>in</strong>ts to the fact that neurons should be dist<strong>in</strong>guished accord<strong>in</strong>g not only to ionicmechanisms of excitability, but also to dynamic mechanisms, <strong>in</strong> particular, to the typeof bifurcation of the rest state.7.1.3 Classes 1 and 2Let us consider the strength of the applied current <strong>in</strong> Hodgk<strong>in</strong>’s experiments as be<strong>in</strong>ga bifurcation parameter. Instead of chang<strong>in</strong>g the parameter abruptly, as <strong>in</strong> Fig. 7.3,we change it slowly <strong>in</strong> Fig. 7.6 us<strong>in</strong>g record<strong>in</strong>gs of the same neurons as <strong>in</strong> the previousfigure. In Sect. 7.1.5 we expla<strong>in</strong> the fundamental difference between these two protocols.When the current ramps up, the rest potential <strong>in</strong>creases until a bifurcation occurs,result<strong>in</strong>g <strong>in</strong> loss of stability or disappearance of the equilibrium correspond<strong>in</strong>g to therest state, and the neuron activity becomes oscillatory. Notice that the pyramidalneuron <strong>in</strong> Fig. 7.6 starts to fire with a small frequency, which then <strong>in</strong>creases accord<strong>in</strong>gto the F-I curve <strong>in</strong> Fig. 7.3 (a slower current ramp is needed to span the entire frequencyrange of the F-I curve). In contrast, the bra<strong>in</strong>stem neuron starts to fire with a highfrequency that rema<strong>in</strong>s relatively constant even though the magnitude of the <strong>in</strong>jectedcurrent <strong>in</strong>creases.

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