Neural computational models

Hebbian (self-organizing, unsupervised, associative) models

 * Hebb's rule
 * Oja's rule
 * Sanger's rule
 * Conditional principal components analysis
 * Autoencoder
 * Restricted Boltzmann machine

Error-driven models (supervised)

 * Feedforward backpropagation
 * Almeida-Pineda recurrent backpropagation
 * Contrastive Hebbian learning

LEABRA

 * see The LEABRA Model of Neural Interactions and Learning in the Neocortex