SSLOFO

SSLOFO is an algorithm for solving the electroencephalogram (EEG) inverse problem. Multiple techniques are combined to reconstruct the underlying source distribution. The algorithm uses a recursive process which takes the smooth estimate of sLORETA as initialization and then employs the re-weighted minimum norm of the FOCUSS alsgorithm. An important technique called standardization is used in the recursive process in order to enhance the localization ability. Matlab source for the SSLOFO can be obtained from the link below. The files for a realistic head model in which to test the algorithm can also be found below. You can read more about the SSLOFO algorithm in the following article:

Hesheng Liu; Schimpf, P.H.; Guoya Dong; Xiaorong Gao; Fusheng Yang; Shangkai Gao, "Standardized shrinking LORETA-FOCUSS (SSLOFO): a new algorithm for spatio-temporal EEG source reconstruction," , IEEE Transactions on Biomedical Engineering, vol.52, no.10, pp.1681-1691, Oct. 2005

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