ConceptOja's Rule

Oja's Rule

An improved variant of the Hebbian learning rule that achieves normalization by introducing weight decay, addressing the instability of the pure Hebbian rule in which positive feedback causes weights to grow without bound.

Timeline (last 90 days)

Oct 13

To improve the stability of the Hebbian rule, researchers proposed the Oja rule (introducing weight decay to achieve normalization) and the BCM rule (introducing a sliding modification threshold).

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All Facts (1)

Unverified

To improve the stability of the Hebbian rule, researchers proposed the Oja rule (introducing weight decay to achieve normalization) and the BCM rule (introducing a sliding modification threshold).

50%

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