Subspace-Based Suppression of Cortical Stimulation Artifacts.
Po T. WangColin M. McCrimmonPayam HeydariAn H. DoZoran NenadicPublished in: EMBC (2018)
Keyphrases
- high quality
- subspace clustering
- low dimensional
- high dimensional data
- principal component analysis
- dimensionality reduction
- feature space
- data sets
- receptive fields
- lower dimensional
- subspace learning
- linear subspace
- subspace clusters
- kernel based nonlinear
- clustering high dimensional data
- edge detection
- biologically plausible
- visual cortex
- spiking neurons
- neural network