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Optimizing BCPNN Learning Rule for Memory Access
Simulation of large scale biologically plausible spiking neural networks, e.g., Bayesian Confidence Propagation Neural Network (BCPNN), usually requires high-performance supercomputers with dedicated accelerators, such as GPUs, FPGAs, or even Application-Specific Integrated Circuits (ASICs). Almost...
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| Publicado no: | Front Neurosci |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7487417/ https://ncbi.nlm.nih.gov/pubmed/32982673 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2020.00878 |
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