Episodes of low-dimensional self-organized dynamics from electroencephalographic alpha-signals.
Roger CerfA. DaoudiM. Ould HénouneEl Hassan El OuasdadPublished in: Biol. Cybern. (1997)
Keyphrases
- low dimensional
- eeg signals
- high dimensional
- dimensionality reduction
- high dimensional data
- signal processing
- principal component analysis
- eeg data
- data points
- dimension reduction
- manifold learning
- dynamic model
- input space
- neural gas
- complex systems
- brain signals
- spectral analysis
- event sequences
- low signal to noise ratio
- linear subspace
- independent component analysis
- feature space
- pattern recognition
- heart rate
- multidimensional scaling
- vector space
- latent space
- brain activity
- machine learning
- neural network