Multistart algorithms for MEG empirical data analysis reliably characterize locations and time courses of multiple sources.

@article{Aine2000MultistartAF,
  title={Multistart algorithms for MEG empirical data analysis reliably characterize locations and time courses of multiple sources.},
  author={Cheryl J. Aine and Mingxiong Huang and Jimmy Stephen and Robert K. Christner},
  journal={NeuroImage},
  year={2000},
  volume={12 2},
  pages={159-72}
}
We applied our newly developed Multistart algorithm (M. Huang et al., 1998, Electroencephalogr. Clin. Neurophysiol. 108, 32-44) to high signal-to-noise ratio (SNR) somatosensory responses and low SNR visual data to demonstrate the reliability of this analysis tool for determining source locations and time courses of empirical multisource neuromagnetic data. This algorithm performs a downhill simplex search hundreds to thousands of times with multiple, randomly selected initial starting… CONTINUE READING

From This Paper

Topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 31 extracted citations

Similar Papers

Loading similar papers…