Non-linear Covariance Estimation for Reconstructing Neural Activity with MEG/EEG Data

Leonardo Duque-Muñoz, Juan David Martínez-Vargas, Germán Castellanos-Domínguez, Jesus Francisco Vargas Bonilla, J. D. López. Non-linear Covariance Estimation for Reconstructing Neural Activity with MEG/EEG Data. In José Manuel Ferrández de Vicente, José Ramón Álvarez Sánchez, Félix de la Paz López, F. Javier Toledo-Moreo, Hojjat Adeli, editors, Natural and Artificial Computation for Biomedicine and Neuroscience - International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, Corunna, Spain, June 19-23, 2017, Proceedings, Part I. Volume 10337 of Lecture Notes in Computer Science, pages 334-344, Springer, 2017. [doi]

@inproceedings{Duque-MunozMCBL17,
  title = {Non-linear Covariance Estimation for Reconstructing Neural Activity with MEG/EEG Data},
  author = {Leonardo Duque-Muñoz and Juan David Martínez-Vargas and Germán Castellanos-Domínguez and Jesus Francisco Vargas Bonilla and J. D. López},
  year = {2017},
  doi = {10.1007/978-3-319-59740-9_33},
  url = {https://doi.org/10.1007/978-3-319-59740-9_33},
  researchr = {https://researchr.org/publication/Duque-MunozMCBL17},
  cites = {0},
  citedby = {0},
  pages = {334-344},
  booktitle = {Natural and Artificial Computation for Biomedicine and Neuroscience - International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, Corunna, Spain, June 19-23, 2017, Proceedings, Part I},
  editor = {José Manuel Ferrández de Vicente and José Ramón Álvarez Sánchez and Félix de la Paz López and F. Javier Toledo-Moreo and Hojjat Adeli},
  volume = {10337},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-59740-9},
}