Dynamical Systems in Neuroscience:
Dynamical Systems in Neuroscience: Dynamical Systems in Neuroscience:
368 BurstingFigure 9.26: Putative “fold/homoclinic” bursting in a pancreatic β-cell (modified fromKinard et al. 1999).0 mV20 mV1 secFigure 9.27: Putative ”fold/homoclinic” bursting in a cell located in pre-Botzingercomplex of rat brain stem (data kindly shared by Christopher A. Del Negro and JackL. Feldman, Systems Neurobiology Laboratory, Department of Neurobiology, UCLA.)Suppose that the hysteresis loop oscillation of the slow variable u has a small amplitude.That is, the saddle-node bifurcation and the saddle homoclinic orbit bifurcationoccur for nearby values of the parameter u. In this case, the fast subsystem of (9.1)is near co-dimension-2 saddle-node homoclinic orbit bifurcation, depicted in Fig. 9.28and studied in Sect. 6.3.6. The figure shows a two-parameter unfolding of the bifurcation,treating u ∈ R 2 as the parameter. A stable equilibrium (resting state) exists inthe left half-plane, and a stable limit cycle (spiking state) exists in the right half-planeof the figure and in the shaded (bistable) region. “Fold/homoclinic” bursting occurswhen the bifurcation parameter, being a slow variable, oscillates between the restingand spiking states through the shaded region. Due to the bistability, the parametercould be one-dimensional. Other trajectories of the slow parameter correspond to othertypes of bursting.In Ex. 16 we prove that there is a piece-wise continuous change of variables thattransforms any “fold/homoclinic” burster with fast subsystem near such a bifurcationinto the canonical model (see Sect. 8.1.5)˙v = I + v 2 − u ,˙u = −µu ,(9.7)
Bursting 369homoclinic orbit bifurcationsaddle-node bifurcation saddle-node oninvariant circle bifurcationsaddle-nodehomoclinic orbitbifurcationcircle/homoclinicburstinghomocliniccircle/circleburstingfold/homoclinicburstingcirclefoldfold/circleburstingFigure 9.28: A neural system near co-dimension-2 saddle-node homoclinic orbit bifurcation(center dot) can exhibit four different types of fast-slow bursting, depending onthe trajectory of the slow variable u ∈ R 2 in the two-dimensional parameter space.Solid (dotted) lines correspond to spiking (resting) regimes.with an after-spike resetting:if v = +∞, then v ← 1 and u ← u + d.Here v ∈ R is the re-scaled membrane potential of the neuron, u ∈ R is the re-scalednet outward (resonant) current that provides a negative feedback to v, and I, d andµ ≪ 1 are parameters. This model is related to the canonical model considered inSect. 8.1.4, and it is simplified further in Ex. 15.The fast subsystem ˙v = (I − u) + v 2 is the normal form for the saddle-node bifurcation,and with the resetting it is known as the quadratic integrate-and-fire neuron(Sect. 3.3.8). When u > I, there is a stable equilibrium v rest = − √ u − I correspondingto the resting state. While the parameter u slowly decreases toward u = 0, the stableequilibrium and the saddle equilibrium v thresh = + √ u − I approach and annihilateeach other at u = I via saddle-node (fold) bifurcation. When u < I, the membranepotential v increases and escapes to infinity in a finite time, i.e., it fires a spike. (Insteadof infinity, any large value can be used in simulations.) The spike activates fastoutward currents and resets v to 1, as in Fig. 9.29. It also activates slow currents andincrements u by d. If the reset value 1 is greater than the threshold potential v thresh ,the fast subsystem fires another spike, and so on, even when u > I; see Fig. 9.29.Since each spike increases u, the repetitive spiking stops when u = I + 1 via saddlehomoclinic orbit bifurcation. The membrane potential jumps down to the restingstate, the hysteresis loop is closed, and the variable u decreases (recovers) to initiateanother “fold/homoclinic” burst. One can vary I in the canonical model (9.7) to studytransitions from quiescence to bursting to tonic spiking, as in Fig. 9.20.
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Burst<strong>in</strong>g 369homocl<strong>in</strong>ic orbit bifurcationsaddle-node bifurcation saddle-node on<strong>in</strong>variant circle bifurcationsaddle-nodehomocl<strong>in</strong>ic orbitbifurcationcircle/homocl<strong>in</strong>icburst<strong>in</strong>ghomocl<strong>in</strong>iccircle/circleburst<strong>in</strong>gfold/homocl<strong>in</strong>icburst<strong>in</strong>gcirclefoldfold/circleburst<strong>in</strong>gFigure 9.28: A neural system near co-dimension-2 saddle-node homocl<strong>in</strong>ic orbit bifurcation(center dot) can exhibit four different types of fast-slow burst<strong>in</strong>g, depend<strong>in</strong>g onthe trajectory of the slow variable u ∈ R 2 <strong>in</strong> the two-dimensional parameter space.Solid (dotted) l<strong>in</strong>es correspond to spik<strong>in</strong>g (rest<strong>in</strong>g) regimes.with an after-spike resett<strong>in</strong>g:if v = +∞, then v ← 1 and u ← u + d.Here v ∈ R is the re-scaled membrane potential of the neuron, u ∈ R is the re-scalednet outward (resonant) current that provides a negative feedback to v, and I, d andµ ≪ 1 are parameters. This model is related to the canonical model considered <strong>in</strong>Sect. 8.1.4, and it is simplified further <strong>in</strong> Ex. 15.The fast subsystem ˙v = (I − u) + v 2 is the normal form for the saddle-node bifurcation,and with the resett<strong>in</strong>g it is known as the quadratic <strong>in</strong>tegrate-and-fire neuron(Sect. 3.3.8). When u > I, there is a stable equilibrium v rest = − √ u − I correspond<strong>in</strong>gto the rest<strong>in</strong>g state. While the parameter u slowly decreases toward u = 0, the stableequilibrium and the saddle equilibrium v thresh = + √ u − I approach and annihilateeach other at u = I via saddle-node (fold) bifurcation. When u < I, the membranepotential v <strong>in</strong>creases and escapes to <strong>in</strong>f<strong>in</strong>ity <strong>in</strong> a f<strong>in</strong>ite time, i.e., it fires a spike. (Insteadof <strong>in</strong>f<strong>in</strong>ity, any large value can be used <strong>in</strong> simulations.) The spike activates fastoutward currents and resets v to 1, as <strong>in</strong> Fig. 9.29. It also activates slow currents and<strong>in</strong>crements u by d. If the reset value 1 is greater than the threshold potential v thresh ,the fast subsystem fires another spike, and so on, even when u > I; see Fig. 9.29.S<strong>in</strong>ce each spike <strong>in</strong>creases u, the repetitive spik<strong>in</strong>g stops when u = I + 1 via saddlehomocl<strong>in</strong>ic orbit bifurcation. The membrane potential jumps down to the rest<strong>in</strong>gstate, the hysteresis loop is closed, and the variable u decreases (recovers) to <strong>in</strong>itiateanother “fold/homocl<strong>in</strong>ic” burst. One can vary I <strong>in</strong> the canonical model (9.7) to studytransitions from quiescence to burst<strong>in</strong>g to tonic spik<strong>in</strong>g, as <strong>in</strong> Fig. 9.20.