Difference between revisions of "Neural computational models"

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== Hebbian (self-organizing, unsupervised, associative) models ==
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* [[Hebb's rule]]
 
* [[Hebb's rule]]
 
* [[Oja's rule]]
 
* [[Oja's rule]]
 
* [[Sanger's rule]]
 
* [[Sanger's rule]]
 
* [[Conditional principal components analysis]]
 
* [[Conditional principal components analysis]]
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* [[Autoencoder]]
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* [[Restricted Boltzmann machine]]
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== Error-driven models (supervised) ==
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* [[Feedforward backpropagation]]
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* [[Almeida-Pineda recurrent backpropagation]]
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* [[Contrastive Hebbian learning]]
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== LEABRA ==
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* see [ftp://grey.colorado.edu/pub/oreilly/thesis/oreilly_thesis.all.pdf The LEABRA Model of Neural Interactions and Learning in the Neocortex]
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Latest revision as of 03:20, 24 June 2016

Hebbian (self-organizing, unsupervised, associative) models

Error-driven models (supervised)

LEABRA