Encoding Cortical Dynamics in Sparse Features

@inproceedings{Khan2014EncodingCD,
  title={Encoding Cortical Dynamics in Sparse Features},
  author={Sheraz Khan and Julien Lef{\`e}vre and Sylvain Baillet and Konstantinos P. Michmizos and Santosh Ganesan and Manfred G. Kitzbichler and Manuel Zetino and Matti S. H{\"a}m{\"a}l{\"a}inen and Christos Papadelis and Tal Kenet},
  booktitle={Front. Hum. Neurosci.},
  year={2014}
}
Distributed cortical solutions of magnetoencephalography (MEG) and electroencephalography (EEG) exhibit complex spatial and temporal dynamics. The extraction of patterns of interest and dynamic features from these cortical signals has so far relied on the expertise of investigators. There is a definite need in both clinical and neuroscience research for a method that will extract critical features from high-dimensional neuroimaging data in an automatic fashion. We have previously demonstrated… CONTINUE READING

References

Publications referenced by this paper.
SHOWING 1-10 OF 34 REFERENCES

Similar Papers

Loading similar papers…