Figure 5
(a) Evolution of sGC ratio in each link of the motif, with and without STDP plasticity rules (yellow and blue lines, respectively), as a function of the inhibition weight from population 2 to 4. Changes in the value of this projection only affect the sGC results in that link, while the other links remain the same. An increase in the inhibition weight, involving a change in the excitatory/inhibitory ratio, is captured by the method, showing opposite ratios for inhibition weights of 2 nS and 8 nS (where the excitation is kept constant). (b) Variation of GC and sGC in function of the SNR. Both measurements present similar decays when the external noise is increased, remaining the sign of the sGC (excitation/inhibition) stable even for low SNR. GC values were normalized by setting the maximum value to 1, and GC corresponding to link 2 → 4 has been inverted for comparison purposes with sGC. (c) sGC in function of the internal variability of the population, for a case with low (green) and high (purple) inhibitory conductance from 2 to 4. In all cases, the sGC remains stable. (d) Variation of sGC for different noise inputs. The method finds similar results in almost every link when the Poissonian rate is increased, except for the connectivity from 4 to 2, which loses accuracy when the opposite projections are predominantly inhibitory. (e) Comparison of GC and sGC for different sampling rates. The GC decays for higher values of sampling frequency, as well as the sGC. Nevertheless, the sGC finds the correct coupling in all cases. (f) Model orders estimated using the AIC for the simulations in e, with their values in samples (left) and in milliseconds (right).
