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Sparse Coding Using the Locally Competitive Algorithm on the TrueNorth Neurosynaptic System
The Locally Competitive Algorithm (LCA) is a biologically plausible computational architecture for sparse coding, where a signal is represented as a linear combination of elements from an over-complete dictionary. In this paper we map the LCA algorithm on the brain-inspired, IBM TrueNorth Neurosynap...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6664083/ https://www.ncbi.nlm.nih.gov/pubmed/31396039 http://dx.doi.org/10.3389/fnins.2019.00754 |