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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...
Autores principales: | Wang, Runchun, van Schaik, André |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6123369/ https://www.ncbi.nlm.nih.gov/pubmed/30210278 http://dx.doi.org/10.3389/fnins.2018.00593 |
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