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Extraction of functional information from ongoing brain electrical activity: Extraction en temps-réel d’informations fonctionnelles à partir de l’activité électrique cérébrale

2011

Article

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The modern analysis of multivariate electrical brain signals requires advanced statistical tools to automatically extract and quantify their information content. These tools include machine learning techniques and information theory. They are currently used both in basic neuroscience and challenging applications such as brain computer interfaces. We review here how these methods have been used at the Laboratoire d’Électroencéphalographie et de Neurophysiologie Appliquée (LENA) to develop a general tool for the real time analysis of functional brain signals. We then give some perspectives on how these tools can help understanding the biological mechanisms of information processing.

Author(s): Besserve, M. and Martinerie, J.
Journal: IRBM
Volume: 32
Number (issue): 1
Pages: 27-34
Year: 2011
Month: February
Day: 0

Department(s): Empirical Inference
Bibtex Type: Article (article)

Digital: 0
DOI: 10.1016/j.irbm.2011.01.001

Links: PDF

BibTex

@article{BesserveM2011,
  title = {Extraction of functional information from ongoing brain electrical activity: Extraction en temps-réel d'informations fonctionnelles à partir de l'activité électrique cérébrale },
  author = {Besserve, M. and Martinerie, J.},
  journal = {IRBM},
  volume = {32},
  number = {1},
  pages = {27-34},
  month = feb,
  year = {2011},
  month_numeric = {2}
}