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Breaking Liebig’s Law: An Advanced Multipurpose Neuromorphic Engine

We present a massively-parallel scalable multi-purpose neuromorphic engine. All existing neuromorphic hardware systems suffer from Liebig’s law (that the performance of the system is limited by the component in shortest supply) as they have fixed numbers of dedicated neurons and synapses for specifi...

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Detalhes bibliográficos
Publicado no:Front Neurosci
Main Authors: Wang, Runchun, van Schaik, André
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2018
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6123369/
https://ncbi.nlm.nih.gov/pubmed/30210278
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2018.00593
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