Biologically plausible form of Hebbian learning with power equivalent to backpropagation
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
References
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| True Hebbian learning | |
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| Related concepts | |
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