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On Practical Issues for Stochastic STDP Hardware With 1-bit Synaptic Weights
In computational neuroscience, synaptic plasticity learning rules are typically studied using the full 64-bit floating point precision computers provide. However, for dedicated hardware implementations, the precision used not only penalizes directly the required memory resources, but also the comput...
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| Veröffentlicht in: | Front Neurosci |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Frontiers Media S.A.
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6196279/ https://ncbi.nlm.nih.gov/pubmed/30374283 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2018.00665 |
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