Probabilistic Models and Generative Neural Networks: Towards an Unified Framework for Modeling Normal and Impaired Neurocognitive Functions.
Alberto TestolinMarco ZorziPublished in: Frontiers Comput. Neurosci. (2016)
Keyphrases
- unified framework
- probabilistic model
- generative model
- neural network
- probabilistic modeling
- graphical models
- bayesian inference
- artificial neural networks
- conditional random fields
- modeling method
- language model
- latent variables
- pattern recognition
- data sets
- rule extraction
- back propagation
- computer vision
- fuzzy cognitive maps
- bayesian networks
- discriminative learning
- basis functions
- modeling language
- language modeling
- feed forward
- expectation maximization
- maximum likelihood
- fuzzy logic
- expert systems