Spectral Analysis of Input Spike Trains by Spike-Timing-Dependent Plasticity
Figure 8
Influence of the STDP parameters.
(A) The neuron is stimulated by four pools. From left to right, pool is stimulated by the correlation source
with correlation strength
in (11). Pools
and
are related to the correlation source
with
; pool
tends to fire
after pool
. (B) Input cross-correlograms
for first three pools described in A. The simulation time is 1000 s and the spike counts have been rescaled by the time bin equal to 1 ms. The peak is predicted by (11). Note the shift of the peak for the cross correlograms between inputs from pools
and
. (C) Spectrum of the correlation matrix
corresponding to B. (D–L) Comparison of the final weight distribution for different STDP models. The two strongest spectral components of the correlation structure in red and green thick lines; they are rescaled between the minimum and maximum weights obtained in the simulation. For STDP+SCC in F, H and K, the single-spike contributions are
and
. (D) log-STDP with
,
and
; (E) log-STDP as in D with
; (F) log-STDP+SCC with the same parameters as D; (G) nlta-STDP with
,
and
; (H) nlta-STDP+SCC with the same parameters as G; (I) mlt-STDP with
,
(J) add-STDP with
,
; (K) add-STDP+SCC with the same parameters as J; (L) add-STDP+SCC2 with
and
.