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...

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Detalles Bibliográficos
Autores principales: Srinivasan, Gopalakrishnan, Panda, Priyadarshini, Roy, Kaushik
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/PMC6116788/
https://www.ncbi.nlm.nih.gov/pubmed/30190670
http://dx.doi.org/10.3389/fnins.2018.00524

Internet

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

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