Parallel ICA methods for EEG neuroimaging

@article{Keith2006ParallelIM,
  title={Parallel ICA methods for EEG neuroimaging},
  author={D. B. Keith and C. C. Hoge and Robert M. Frank and Allen D. Malony},
  journal={Proceedings 20th IEEE International Parallel & Distributed Processing Symposium},
  year={2006},
  pages={10 pp.-}
}
HiPerSAT, a C++ library and tools, processes EEG data sets with ICA (independent component analysis) methods. HiPerSAT uses BLAS, LAPACK, MPI and OpenMP to achieve a high performance solution that exploits parallel hardware. ICA is a class of methods for analyzing a large set of data samples and extracting independent components that explain the observed data. ICA is used in EEG research for data cleaning and separation of spatiotemporal patterns that may reflect different underlying neural… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 13 references

NIC Technical Report - HiPerSAT

  • D. B. Keith, C. C. Hoge, R. M. Frank, A. D. Malony
  • Technical report, Neuroinformatics Center…
  • 2005
2 Excerpts

A high - performance , portable implementation of the mpi message passing interface standard

  • J. Vaigl.
  • 2004

Independent Component Analysis : A Tutorial Introduction

  • J. V. Stone
  • MIT Press
  • 2004
2 Excerpts

Mining event-related brain dynamics

  • S M
  • Trends in Cognitive Science,
  • 2004
2 Excerpts

Similar Papers

Loading similar papers…