Fig. 6: SNN performance in indentation localization and two-point discrimination. | Nature Machine Intelligence

Fig. 6: SNN performance in indentation localization and two-point discrimination.

From: Type II mechanoreceptors and cuneate spiking neuronal network enable touch localization on a large-area e-skin

Fig. 6

a, Test indentation points of the fourfold cross-validation randomly distributed over the e-skin. b, Prediction error, that is, Euclidean distance, of the contact location over the e-skin area. c, Median and IQR values of the prediction errors of the SNN before and after synaptic learning, and the FBG weighted average for different ROI radii. d, Topographic latency map for one contact point in the two-point discrimination analysis. e, Topographic latency map for two contact points in the two-point discrimination analysis. f, Piecewise sigmoid fitting of the two-point detection rate as a function of the distance between the two probes used in the Weber two-point discrimination test. The two-point discrimination threshold (th) of the e-skin is reported, too.

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