Table 3.

Statistical analysis of the performances of the GMKF-, KF- and PF-based (Paninski et al., 2012) algorithms in the example with non-structural synaptic input (Specifications of the simulation were the same as in Example 5).

Algorithms\features	v	gE	gI
PF	0.0246 ± 7 × 10−3	0.6678 ± 0.4 × 10−2	0.6479 ± 0.4 × 10−2
KF	0.0233 ± 7 × 10−3	0.6392 ± 0.6 × 10−2	0.6322 ± 0.7 × 10−2
GMKF	0.0147 ± 1 × 10−3	0.4599 ± 0.6 × 10−2	0.5811 ± 0.6 × 10−2

Definition of parameters is the same as Table 2.