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Event-driven contrastive divergence for spiking neuromorphic systems
Restricted Boltzmann Machines (RBMs) and Deep Belief Networks have been demonstrated to perform efficiently in a variety of applications, such as dimensionality reduction, feature learning, and classification. Their implementation on neuromorphic hardware platforms emulating large-scale networks of...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Frontiers Media S.A.
2014
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3922083/ https://ncbi.nlm.nih.gov/pubmed/24574952 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2013.00272 |
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