Principal component analysis of ensemble recordings reveals cell assemblies at high temporal resolution.
Adrien PeyracheKarim BenchenaneMehdi KhamassiSidney I. WienerFrancesco P. BattagliaPublished in: J. Comput. Neurosci. (2010)
Keyphrases
- color information
- principal component analysis
- high temporal resolution
- magnetic resonance imaging
- principal components
- dimensionality reduction
- covariance matrix
- ensemble methods
- independent component analysis
- spatial resolution
- linear discriminant analysis
- face images
- face recognition
- discriminant analysis
- random forests
- time of flight
- dimension reduction
- random forest
- feature extraction
- medical images
- training set
- wide field
- pose estimation
- image segmentation
- feature space
- action potentials