Table 2.

Effect of different signal processing steps on connectome inference. Unlike binarization, signal thresholding and smoothing improve the accuracy of connectome inference.

	AUROC			AUPR
Filter	Small (n = 6)	Normal (n = 4)	Others (n = 6)	Small (n = 6)	Normal (n = 4)	Others (n = 6)
Neuronal Spikes $x$	0.871 ± 0.058	0.892 ± 0.002	0.905 ± 0.030	0.543 ± 0.097	0.335 ± 0.005	0.347 ± 0.067
Spikes + Binarization $u\left(x\right)$	0.563 ± 0.055	0.653 ± 0.006	0.647 ± 0.069	0.189 ± 0.021	0.042 ± 0.002	0.050 ± 0.021
Spikes + Thresholding $g\left(x\right)$	0.876 ± 0.051	0.882 ± 0.003	0.895 ± 0.040	0.620 ± 0.096	0.408 ± 0.012	0.421 ± 0.114
Spikes + Smoothing $h\left(x\right)$	0.891 ± 0.035	0.908 ± 0.002	0.917 ± 0.025	0.538 ± 0.056	0.330 ± 0.004	0.346 ± 0.053
FARCI $h\left(g\left(x\right)\right)$	0.916 ± 0.031	0.908 ± 0.002	0.918 ± 0.032	0.741 ± 0.067	0.491 ± 0.003	0.497 ± 0.100