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Spectral Analysis of Input Spike Trains by Spike-Timing-Dependent Plasticity

Figure 7

From PCA to ICA.

The plots show the mutual information between each correlation source and the neuronal output firing after learning as in Fig. 6D–F. The neuron is stimulated by pools that mix three correlation sources as in Fig. 5. The two columns compare log-STDP with different degrees of weight dependence: (1) and (2) that induces stronger competition via weaker LTD. Each row corresponds to a different combination of single-spike contributions: (A) plain log-STDP meaning and log-STDP+SCC with (B) and ; (C) and ; (D) and ; (E) and . The scale on the y-axis is identical for all plots. The ratio of between and is indicated by .

Figure 7

doi: https://doi.org/10.1371/journal.pcbi.1002584.g007