An asynchronous, threshold-gated Hebbian learning rule with a plasticity refractory period learns factorized representations like the classic settled Hebbian/anti-Hebbian model and avoids catastrophic forgetting.
Representation learning: A review and new perspectives
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Asynchronous Hebbian/anti-Hebbian networks
An asynchronous, threshold-gated Hebbian learning rule with a plasticity refractory period learns factorized representations like the classic settled Hebbian/anti-Hebbian model and avoids catastrophic forgetting.