A Mathematical Analysis of the Effects of Hebbian Learning Rules on the Dynamics and Structure of Discrete-Time Random Recurrent Neural Networks.
Benoît SiriHugues BerryBruno CessacBruno DelordMathias QuoyPublished in: Neural Comput. (2008)
Keyphrases
- learning rules
- recurrent neural networks
- mathematical analysis
- neural network
- recurrent networks
- artificial neural networks
- biologically inspired
- feed forward
- echo state networks
- back propagation
- hebbian learning
- learning algorithm
- reservoir computing
- cascade correlation
- feedforward neural networks
- learning scheme
- neural model
- radial basis function
- boltzmann machine
- rbf network
- dynamic model
- multiscale
- image processing