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Comparative evaluation of Independent Components Analysis algorithms for isolating target-relevant information in brain-signal classification

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Hill,  NJ
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Lal,  TN
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Schölkopf,  B
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Hill, N., Schröder, M., Lal, T., & Schölkopf, B. (2005). Comparative evaluation of Independent Components Analysis algorithms for isolating target-relevant information in brain-signal classification. Poster presented at Third International Meeting on Brain–Computer Interface Technology (BCI 2005): Making a Difference, Rensselaerville, NY, USA.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-D543-4
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