GeneRec is a generalization of the recirculation algorithm, and approximates Almeida-Pineda recurrent backpropagation.
[1][2] It is used as part of the Leabra algorithm for error-driven learning.
[3] The symmetric, midpoint version of GeneRec is equivalent to the contrastive Hebbian learning algorithm (CHL).
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