Multiplexing rhythmic information by spike timing dependent plasticity
Fig 8
STDP dynamics with a conductance based downstream neuron.
Results of two numerical simulation of STDP dynamics with a conductance based downstream neuron are presented: (a)-(d) using a downstream neuron with a linear f-I curve, and (e)-(h) using a downstream neuron with a non-linear f-I curve, see Details of numerical simulations in Methods. (a), (b), (e) and (f) The synaptic weights are shown as a function of time for population 1 (in a and e) and population 2 (in b and f). The different traces show the dynamics of different synapses colored by the preferred phase of their pre-synaptic neuron, see legend. (c) and (g) The dynamics of the order parameters: the mean, , and first Fourier component,
, are shown as a function of time for both populations, see legend. (d) and (h) The dynamics of the phases, ψ1 and ψ2, is shown as a function of time in red and pink, respectively. Here we used the temporally asymmetric STDP rule, Eq (11). Additional parameters are: N1 = N2 = 120,
,
, α = 1.1 and μ = 0.011. The learning rate λ in the non-linear case is 5 times larger than in the linear case. For further details see Methods.