Ensemble learning and ground-truth validation of synaptic connectivity inferred from spike trains
Fig 3
A SHAP values for an examplary excitatory (E) connection (top panel) and an inhibitory (I) connection (bottom panel), ranked according to their importance. The length of the arrows denotes the approximated feature contribution to the eANN output, as estimated by the SHAP method [60]. The y-axis shows the corresponding features with the feature value in brackets. Green arrows pointing to the right indicate that this feature was informative in the process of determining an E/I connection; purple arrows pointing to the left indicate the opposite. Normalized histograms plotted in light green and purple show the eANN output for connected pairs and unconnected pairs. The dashed line is the average eANN output for all connections in the dataset. B The features with the highest average SHAP values for excitatory (E, top panel) and inhibitory (I, bottom panel) connections. Red and blue bars depict the average SHAP values for excitatory and inhibitory connections; error bars represent the standard deviation, calculated over all E/I connections present in the dataset. C SHAP values as a function of feature values for the top two features depicted in panel B, namely GLMPP w, and GLMCC w; black dots indicate unconnected pairs.