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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Bibliografski detalji
Izdano u:Front Neurosci
Glavni autori: Fair, Kaitlin L., Mendat, Daniel R., Andreou, Andreas G., Rozell, Christopher J., Romberg, Justin, Anderson, David V.
Format: Artigo
Jezik:Inglês
Izdano: Frontiers Media S.A. 2019
Teme:
Neuroscience
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6664083/
https://ncbi.nlm.nih.gov/pubmed/31396039
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2019.00754
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