Dimension Reduction and Dynamics of a Spiking Neural Network Model for Decision Making under Neuromodulation.
Philip EckhoffKongFatt Wong-LinPhilip HolmesPublished in: SIAM J. Appl. Dyn. Syst. (2011)
Keyphrases
- dimension reduction
- neural network model
- decision making
- neural models
- neural network
- artificial neural networks
- principal component analysis
- feature extraction
- dynamic characteristics
- feed forward
- high dimensional problems
- variable selection
- high dimensional
- low dimensional
- high dimensionality
- feature selection
- network architecture
- singular value decomposition
- linear discriminant analysis
- manifold learning
- high dimensional data
- bio inspired
- cluster analysis
- feature space
- bp neural network
- using artificial neural networks
- random projections
- partial least squares
- unsupervised learning
- dimensionality reduction
- rbf neural network
- spiking neural networks
- data mining
- biologically plausible
- learning rules
- nearest neighbor
- face recognition
- biologically inspired
- back propagation
- semi supervised
- pattern recognition
- machine learning
- dimension reduction methods