GeneRec
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GeneRec is a generalization of the
recirculation algorithm Circulation may refer to: Science and technology * Atmospheric circulation, the large-scale movement of air * Circulation (physics), the path integral of the fluid velocity around a closed curve in a fluid flow field * Circulatory system, a biol ...
, and approximates Almeida-Pineda recurrent backpropagation.O'Reilly, R.C. Biologically Plausible Error-driven Learning using Local Activation Differences: The Generalized Recirculation Algorithm. Neural Computation, 8, 895–938
AbstractPDF
/ref> It is used as part of the
Leabra Leabra stands for local, error-driven and associative, biologically realistic algorithm. It is a model of learning which is a balance between Hebbian and error-driven learning with other network-derived characteristics. This model is used to mathe ...
algorithm for
error-driven learning Error-driven learning is a sub-area of machine learning concerned with how an Intelligent agent, agent ought to take actions in an Environment (biophysical), environment so as to minimize some error feedback. It is a type of reinforcement learning ...
.Leabra overview in Emergent
/ref> The symmetric, midpoint version of GeneRec is equivalent to the
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. In 2003, contrastive Hebbian le ...
algorithm (CHL).


See also

*
Leabra Leabra stands for local, error-driven and associative, biologically realistic algorithm. It is a model of learning which is a balance between Hebbian and error-driven learning with other network-derived characteristics. This model is used to mathe ...

O'Reilly (1996; Neural Computation)


References

Neuroscience Machine learning algorithms {{neuroscience-stub