Table 1. BCI Performance.

The second column indicates the number of iEEG channels selected for modeling with the total number iEEG channels recorded in parentheses (the number of sEEG channels is fixed at 32 for all subjects). The third and fourth columns give the results for the optimal linear classifier derived from the sEEG and iEEG data, respectively. The fifth and sixth columns give the results of the two proposed modeling schemes using the transformed iEEG as an input to an sEEG-derived classifier.

Subject	# iEEG Electrodes	sEEG (%)	iEEG (%)	Performance(%)	Direct(%)
A	2(26)	100	25	19	19
B	5(32)	93	100	100	38
C	4(16)	100	100	100	50
D	3(30)	100	44	25	19
E	2(26)	88	81	63	63
F	9(64)	100	88	81	32

Note that chance accuracy for the paradigm is 3%.