Table 2.

Statistical analysis of the performances of the GMKF-, KF-, and PF-based (Paninski et al., 2012) algorithms in the example with structural synaptic input (specifications of the simulation were the same as in Example 4).

Algorithms\features	v	gE	gI
PF	0.0124 ± 1 × 10−3	0.5658 ± 5 × 10−3	0.3046 ± 3 × 10−2
KF	0.0031 ± 0.2 × 10−3	0.4106 ± 0.7 × 10−3	0.2614 ± 0.5 × 10−2
GMKF	0.0033 ± 0.2 × 10−3	0.4611 ± 0.7 × 10−3	0.2876 ± 0.5 × 10−2

The values describe trial means and standard deviations of the normalized estimation error of (15).