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. Author manuscript; available in PMC: 2015 Feb 10.
Published in final edited form as: Neuroimage. 2013 May 3;79:241–263. doi: 10.1016/j.neuroimage.2013.04.091

Table 3. Comparison of running time (in seconds) for different methods.

The classic Granger causality treats the whole time series as one time window. The average Granger causality and cumulative Granger causality were applied to the data by dividing the time series into time windows with equal lengths. The average Granger causality and cumulative Granger causality were also used after optimally dividing the time windows using the proposed algorithm. This simulation was carried out by a computer with an Intel® Core™ 2 CPU T5600 @ 1.83GHz, 1.83GHz, and 1.5G RAM.

One time
window		 Time windows with equal length Optimally
divided time
windows
Window length 1200 600 300 100 50 10
Running time 0.0073 0.2936 0.4697 0.9969 1.9747 9.8709 346.5863