Neural computational models
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Hebbian (self-organizing, associative) models
Hebb's rule
Oja's rule
Sanger's rule
Conditional principal components analysis
Error-driven models
Feedforward backpropagation
Almeida-Pineda recurrent backpropagation
Contrastive Hebbian learning
LEABRA
see
The LEABRA Model of Neural Interactions and Learning in the Neocortex
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