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Dynamical Systems in Neuroscience:

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18 IntroductionspikeFigure 1.16: Phase portrait of a system near aBogdanov-Takens bifurcation that corresponds tothe transition from <strong>in</strong>tegrator to resonator mode.the system to the separatrices, the longer it takes to converge and then diverge fromthe saddle, result<strong>in</strong>g <strong>in</strong> a long latency to the spike. Notice that the threshold is not apo<strong>in</strong>t but a tilted curve that spans a range of voltage values.Resonators have a well-def<strong>in</strong>ed threshold <strong>in</strong> the case of subcritical Andronov-Hopfbifurcation: it is the small unstable limit cycle that separates the attraction doma<strong>in</strong>sof stable equilibrium and spik<strong>in</strong>g limit cycle. Trajectories <strong>in</strong>side the small cycle spiraltoward the stable equilibrium, while trajectories outside the cycle spiral away andeventually lead to susta<strong>in</strong>ed spik<strong>in</strong>g activity. When a neuronal model is far from thesubcritical Andronov-Hopf bifurcation, its phase portrait may look similar to the onecorrespond<strong>in</strong>g to the supercritical Andronov-Hopf bifurcation. The narrow shadedband <strong>in</strong> the figure is not a threshold manifold but a fuzzy threshold set called “quasithreshold”by FitzHugh (1955). Many resonators, <strong>in</strong>clud<strong>in</strong>g the Hodgk<strong>in</strong>-Huxley modelhave quasi-thresholds. The width of the quasi-threshold <strong>in</strong> the Hodgk<strong>in</strong>-Huxley modelis so narrow, that it may be assumed to be just a curve for all practical reasons.Integrators <strong>in</strong>tegrate, resonators resonate. Now consider <strong>in</strong>puts consist<strong>in</strong>g of multiplepulses, e.g., a burst of spikes. Integrators prefer high-frequency <strong>in</strong>puts; the higherthe frequency, the sooner they fire. Indeed, the first spike of such an <strong>in</strong>put, marked“1” <strong>in</strong> the top-right phase portrait <strong>in</strong> Fig. 1.15, <strong>in</strong>creases the membrane potential andshifts the state to the right toward the threshold. S<strong>in</strong>ce the state of the system isstill <strong>in</strong> the white area, it slowly converges back to the stable equilibrium. To crossthe threshold manifold, the second pulse must arrive shortly after the first one. Thereaction of a resonator to a pair of pulses is quite different. The first pulse <strong>in</strong>itiates adamped subthreshold oscillation of the membrane potential, which looks like a spiral<strong>in</strong> the bottom-right phase portrait <strong>in</strong> Fig. 1.15. The effect of the second pulse dependson its tim<strong>in</strong>g. If it arrives after the trajectory makes half a rotation, marked as “2”<strong>in</strong> the figure, it cancels the effect of the first pulse. If it arrives after the trajectorymakes a full rotation, marked “3” <strong>in</strong> the figure, it adds to the first pulse and either<strong>in</strong>creases the amplitude of subthreshold oscillation or evokes a spike response. Thus,the response of the resonator neuron depends on the frequency content of the <strong>in</strong>put,as <strong>in</strong> Fig. 1.7.Integrators and resonators constitute two major modes of activity of neurons. Mostcortical pyramidal neurons, <strong>in</strong>clud<strong>in</strong>g the regular spik<strong>in</strong>g (RS), <strong>in</strong>tr<strong>in</strong>sically burst<strong>in</strong>g

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