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SpiLinC: Spiking Liquid-Ensemble Computing for Unsupervised Speech and Image Recognition
In this work, we propose a Spiking Neural Network (SNN) consisting of input neurons sparsely connected by plastic synapses to a randomly interlinked liquid, referred to as Liquid-SNN, for unsupervised speech and image recognition. We adapt the strength of the synapses interconnecting the input and l...
| Autores principales: | , , |
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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/PMC6116788/ https://www.ncbi.nlm.nih.gov/pubmed/30190670 http://dx.doi.org/10.3389/fnins.2018.00524 |