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Unsupervised Feature Learning With Winner-Takes-All Based STDP

We present a novel strategy for unsupervised feature learning in image applications inspired by the Spike-Timing-Dependent-Plasticity (STDP) biological learning rule. We show equivalence between rank order coding Leaky-Integrate-and-Fire neurons and ReLU artificial neurons when applied to non-tempor...

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Detalles Bibliográficos
Autores principales:	Ferré, Paul, Mamalet, Franck, Thorpe, Simon J.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2018
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5895733/ https://www.ncbi.nlm.nih.gov/pubmed/29674961 http://dx.doi.org/10.3389/fncom.2018.00024

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