Simple Spiking Model by Izhikevich (2003)
The model neuron is described by:
v' = 0.04v2 + xv + y - u + I
u' = du = a(bv - u)
if v ≥ +30 mV, then v ← c and u ← u + d.
The learning equations implement a spike-timing-dependent plasticity rule (see Izhikevich, 2006). If the learning
parameters are both 0.0, learning is ignored. There are no conduction delays in this implementation.