A State Space Approach for Piecewise-Linear Recurrent Neural Networks for Reconstructing Nonlinear Dynamics from Neural Measurements.
Daniel DurstewitzPublished in: CoRR (2016)
Keyphrases
- piecewise linear
- recurrent neural networks
- nonlinear dynamics
- state space
- neural network
- dynamical systems
- dynamic programming
- neural model
- recurrent networks
- hebbian learning
- feed forward
- chaotic map
- reservoir computing
- echo state networks
- finite sets
- cascade correlation
- artificial neural networks
- reinforcement learning
- regression algorithm
- neural models
- expert systems
- nonlinear dynamic systems
- hyperplane
- fuzzy systems
- fuzzy logic
- training data
- face recognition
- decision making
- data sets