Dynamical Systems in Neuroscience:

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12 Introduction(a)spikinglimitcyclerecoverypotentialnodesaddlesaddle-nodesaddle-node bifurcation(b)invariantcirclenode saddle saddle-nodesaddle-node on invariant circle (SNIC) bifurcation(c)spikinglimitcycle attractorunstablesubcritical Andronov-Hopf bifurcation(d)supercritical Andronov-Hopf bifurcationFigure 1.12: Four generic (co-dimension-1) bifurcations of an equilibrium state leadingto the transition from resting to periodic spiking behavior in neurons.
Introduction 13trajectory describing the evolution of the system jumps to the limit cycle attractorindicating that the neuron starts to fire tonic spikes. Notice that the limit cycle,or some other attractor, must co-exist with the resting state in order for thetransition resting → spiking to occur.• Saddle-node on invariant circle bifurcation is similar to the saddle-node bifurcationabove with the exception that there is an invariant circle at the moment ofbifurcation, which then becomes a limit cycle attractor, as in Fig. 1.12b.• Subcritical Andronov-Hopf bifurcation. A small unstable limit cycle shrinks toa stable equilibrium and makes it lose stability, as in Fig. 1.12c. Because ofinstabilities, the trajectory diverges from the equilibrium and approaches a largeamplitudespiking limit cycle or some other attractor.• Supercritical Andronov-Hopf bifurcation. The stable equilibrium loses stabilityand gives birth to a small-amplitude limit cycle attractor, as in Fig. 1.12d. Asthe magnitude of the injected current increases, the amplitude of the limit cycleincreases and it becomes full-size spiking limit cycle.Notice that there is a co-existence of resting and spiking states in the case of saddle-nodeand subcritical Andronov-Hopf bifurcations, whereas there is not in the other two cases.Such a co-existence reveals itself via a hysteresis behavior when the injected currentincreases and then decreases past the bifurcation value, because the transitions “resting→ spiking” and “spiking → resting” occur at different values of the current. In addition,brief stimuli applied at the appropriate times can switch the activity from spiking toresting and back. There are also spontaneous noise-induced transitions between thetwo modes resulting in the stuttering spiking, as e.g. exhibited by the so called fastspiking (FS) cortical interneurons when they are kept close to the bifurcation (Tatenoet al. 2004). Some bistable neurons have a slow adaptation current that activatesduring the spiking mode and impedes spiking, often resulting in bursting activity.Systems undergoing Andronov-Hopf bifurcations, whether subcritical or supercritical,exhibit damped oscillations of membrane potential, whereas systems near saddlenodebifurcations, whether on or off an invariant circle, do not. The existence ofsmall amplitude oscillations creates the possibility of resonance to the frequency of theincoming pulses, as in Fig. 1.7, and other interesting features.We refer to neurons with damped subthreshold oscillations as resonators and tothose that do not have this property as integrators. We refer to the neurons that exhibitthe co-existence of resting and spiking states, at least near the transition from resting tospiking, as bistable, and to those that do not exhibit the bistability as monostable. Thefour bifurcations in Fig. 1.12 are uniquely defined by these two features. For example,a bistable resonator is a neuron undergoing subcritical Andronov-Hopf bifurcation,and a monostable integrator is a neuron undergoing saddle-node on invariant circlebifurcation; see table in Fig. 1.13. Cortical fast spiking (FS) and regular spiking(RS) neurons, studied in Chap. 8, are typical examples of the former and the latter,respectively.
Page 1: Eugene M. IzhikevichThe Neuroscienc
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