SoftHebb: Bayesian inference in unsupervised Hebbian soft winner-take-all networks
Hebbian plasticity in winner-take-all (WTA) networks is highly attractive for neuromorphic on-chip learning, owing to its efficient, local, unsupervised, and on-line nature. Moreover, its biological plausibility may help overcome important limitations of artificial algorithms, such as their suscepti...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
IOP Publishing
2022-01-01
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Series: | Neuromorphic Computing and Engineering |
Subjects: | |
Online Access: | https://doi.org/10.1088/2634-4386/aca710 |