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...

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Detalles Bibliográficos
Autores principales: Fair, Kaitlin L., Mendat, Daniel R., Andreou, Andreas G., Rozell, Christopher J., Romberg, Justin, Anderson, David V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
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

Internet

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

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