Table 2.

Number of classification errors for all simulated examples and overlapping spike shapes

№	Example no.	Noise level	Number of overlapping spikes	False matches
				N°.	%
		1	2	3	4
1.	1	[0.05]	785	161	20.5
2.		[0.10]	769	146	19.0
3.		[0.15]	784	185	23.6
4.		[0.20]	796	165	20.7
5.		[0.25]	712	208	29.2
6.		[0.30]	846	250	29.6
7.		[0.35]	832	270	32.5
8.		[0.40]	741	270	36.4
9.	2	[0.05]	791	152	19.2
10.		[0.10]	826	167	20.2
11.		[0.15]	763	152	19.9
12.		[0.20]	811	301	37.1
13.	3	[0.05]	767	88	11.5
14.		[0.10]	810	131	16.2
15.		[0.15]	812	152	18.7
16.		[0.20]	790	287	36.3
17.	4	[0.05]	829	39	4.7
18		[0.10]	720	114	15.8
19.		[0.15]	809	209	25.8
20.		[0.20]	777	282	36.3
Average			789	186	23.7

Noise level is represented in terms of its standard deviation relative to the peak amplitude of the spikes. All spike classes had a peak value of 1. The absolute number of false matching spikes is shown in column 3 as the outcome of our algorithm corresponding to the datasets containing overlapped spikes (column 2).