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

Hill, NJ; Schröder, M; Lal, TN; Schölkopf, B

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

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.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-D543-4 Versions-Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-D544-2

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Urheber:
Hill, NJ¹, Autor
Schröder, M², Autor
Lal, TN¹, Autor
Schölkopf, B¹, Autor

Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794