Low-dimensional attractor for neural activity from local field potentials in optogenetic mice.
Sorinel Adrian OprisanPatrick E. LynnTamas TompaAntonieta LavinPublished in: Frontiers Comput. Neurosci. (2015)
Keyphrases
- locally linear embedding
- low dimensional
- manifold learning
- dimensionality reduction
- high dimensional
- high dimensional data
- principal component analysis
- neural network
- data points
- vector space
- cellular automata
- feature space
- fixed point
- euclidean space
- data sets
- network architecture
- high order
- neural model
- input space
- feature selection
- dynamical systems
- pattern recognition
- semi supervised