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Implementing Signature Neural Networks with Spiking Neurons
Spiking Neural Networks constitute the most promising approach to develop realistic Artificial Neural Networks (ANNs). Unlike traditional firing rate-based paradigms, information coding in spiking models is based on the precise timing of individual spikes. It has been demonstrated that spiking ANNs...
Autores principales: | Carrillo-Medina, José Luis, Latorre, Roberto |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5167754/ https://www.ncbi.nlm.nih.gov/pubmed/28066221 http://dx.doi.org/10.3389/fncom.2016.00132 |
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