Optimization techniques for independent component analysis with applications to EEG data

  • Authors:
  • Pando Georgiev;Andrzej Cichocki;Hovagim Bakardjian

  • Affiliations:
  • Laboratory for Advanced Brain Signal Processing, Brain Science Institute, The Institute of Physical and Chemical Research (RIKEN), Wako-shi, Saitama 351-0198, Japan;Laboratory for Advanced Brain Signal Processing, Brain Science Institute, The Institute of Physical and Chemical Research (RIKEN), Wako-shi, Saitama 351-0198, Japan;Laboratory for Advanced Brain Signal Processing, Brain Science Institute, The Institute of Physical and Chemical Research (RIKEN), Wako-shi, Saitama 351-0198, Japan

  • Venue:
  • Quantitative neuroscience
  • Year:
  • 2004

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Abstract

We present a survey and generalizations of some methods for ICA like maximization of kurtosis and algebraic cumulant methods for a combination of second and fourth order statistics by joint diagonalization of covariance and cumulant matrices depending on time delays. We describe an experiment with EEG data showing that the combination of second and fourth order statistics gives better results for detecting of eye movements.