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Dynamical Systems in Neuroscience:

Dynamical Systems in Neuroscience:

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432 Solutions to Exercises, Chap. 90.4u0.200.20.40.60.8x12 1.5 1 0.5 0 0.5 1 1.5 2 2.5 332.521.510.500.511.5x(t)20 50 100 150 200 250 300 350 400 450Figure 10.31: Solution to Ex. 1. Nullcl<strong>in</strong>es,hedgehog limit cycle and a burst<strong>in</strong>gsolution of a planar system (modifiedfrom Izhikevich 2000).1K + activation gate, n0.80.60.40.20-80 -60 -40 -20 0membrane potential, V (mV)Figure 10.32: Noise-<strong>in</strong>duced burst<strong>in</strong>g<strong>in</strong> two-dimensional system; See Ex. 2.Solutions to Chapter 91. (Planar burster) Izhikevich (2000) suggested the systemẋ = x − x 3 /3 − u + 4S(x) cos 40u,˙u = µx ,with S(x) = 1/(1 + e 5(1−x) ) and µ = 0.01. It has a hedgehog limit cycle depicted <strong>in</strong> Fig. 10.31.2. (Noise-<strong>in</strong>duced burst<strong>in</strong>g) Noise can <strong>in</strong>duce burst<strong>in</strong>g <strong>in</strong> a two-dimensional system with coexistenceof rest<strong>in</strong>g and spik<strong>in</strong>g states. Indeed, noisy perturbations can randomly push thestate of the system <strong>in</strong>to the attraction doma<strong>in</strong> of the rest<strong>in</strong>g state or <strong>in</strong>to the attraction doma<strong>in</strong>of the limit cycle attractor, as <strong>in</strong> Fig. 10.32. The solution meanders between the states,exhibit<strong>in</strong>g a random burst<strong>in</strong>g pattern as <strong>in</strong> Fig. 9.55,right. neocortical neurons of RS and FStype, as well as stellate neurons of the entorh<strong>in</strong>al cortex exhibit such burst<strong>in</strong>g; see Chap. 8.

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