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Reward-based learning under hardware constraints—using a RISC processor embedded in a neuromorphic substrate
In this study, we propose and analyze in simulations a new, highly flexible method of implementing synaptic plasticity in a wafer-scale, accelerated neuromorphic hardware system. The study focuses on globally modulated STDP, as a special use-case of this method. Flexibility is achieved by embedding...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2013
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3778319/ https://www.ncbi.nlm.nih.gov/pubmed/24065877 http://dx.doi.org/10.3389/fnins.2013.00160 |