Time Domain Parameters as a feature for EEG-based Brain-Computer Interfaces
By Carmen Vidaurre, Nicole Krämer, Benjamin Blankertz, Alois Schlögl. Neural Networks, 2009
318 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/d15ce33189007e71072bd929f10e4dc727be7b48
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Cuntai Guan
- Fabien Lotte
- Benjamin Blankertz
- K. Müller
- Steven Lemm
- Carmen Vidaurre
- Thorsten Dickhaus
- Michael Wolf
In Cognitive Neuroscience
- Fabien Lotte
- Cuntai Guan
- K. Müller
- Benjamin Blankertz
- Carmen Vidaurre
- Steven Lemm
- Thorsten Dickhaus
- Michael Wolf
Citations in the corpus
- Single-trial analysis and classification of ERP components - A tutorial (2011, unknown): “For the trade-off with respect to the shrinkage parameter, recently an analytic method to calculate the optimal shrinkage parameter for certain directions of shrinkage was found ([36]; see also [70] for the first application in BCI).”
- Introduction to machine learning for brain imaging (2011, methodology): “Recently an analytic method to calculate the optimal shrinkage parameter for certain directions of shrinkage was found (Ledoit and Wolf, 2004; see also Vidaurre et al., 2009 for the fi rst application to brain imaging data) that is surprisingly simple.”
- Regularizing Common Spatial Patterns to Improve BCI Designs: Unified Theory and New Algorithms (2011, methodology): “, [17]), to our best knowledge, it has not been used for CSP regularization, but for regularization of other algorithms such as”
- Quadratic Shrinkage for Large Covariance Matrices (2020, methodology): “Analytical and QuEST, are ‘outliers’ in the present context because their formulas derive not from statistics but from the Random Matrix Theory invented by 1963 Physics Nobel prize winner Eugene Wigner (1955) to model the wave functions of quantum mechanical systems, by way of the subsequent work of”
- Towards a Cure for BCI Illiteracy (2009, methodology): “The classifier used here was regularized version of LDC, with automatic shrinkage, to account for the higher dimensionality of the features, as in Vidaurre et al. (2009).”