English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Poster

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

MPS-Authors
/persons/resource/persons83968

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

/persons/resource/persons84035

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

/persons/resource/persons84193

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

External Resource
No external resources are shared
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

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: http://hdl.handle.net/11858/00-001M-0000-0013-D543-4
Abstract
There is no abstract available