Contrastive Hebbian learning

Contrastive Hebbian learning is a biologically plausible form of Hebbian learning.

It is based on the contrastive divergence algorithm, which has been used to train a variety of energy-based latent variable models.^[1]

In 2003, contrastive Hebbian learning was shown to be equivalent in power to the backpropagation algorithms commonly used in machine learning.^[2]

See also

• Oja's rule
• Generalized Hebbian algorithm