Opening the Black Box: Low-Dimensional Dynamics in High-Dimensional Recurrent Neural Networks.
David SussilloOmri BarakPublished in: Neural Comput. (2013)
Keyphrases
- black box
- recurrent neural networks
- low dimensional
- high dimensional
- recurrent networks
- dimensionality reduction
- high dimensional data
- neural network
- black boxes
- feed forward
- data points
- manifold learning
- white box
- echo state networks
- test cases
- feedforward neural networks
- neural model
- artificial neural networks
- input space
- reservoir computing
- euclidean space
- feature space
- cascade correlation
- dynamical systems
- dynamic model
- principal component analysis
- chaotic time series
- white box testing
- high dimensional data space
- integration testing
- hybrid systems
- low dimensional manifolds
- open source
- case study