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Timing Intervals Using Population Synchrony and Spike Timing Dependent Plasticity
We present a computational model by which ensembles of regularly spiking neurons can encode different time intervals through synchronous firing. We show that a neuron responding to a large population of convergent inputs has the potential to learn to produce an appropriately-timed output via spike-t...
| Autores principales: | , |
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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/PMC5133049/ https://www.ncbi.nlm.nih.gov/pubmed/27990109 http://dx.doi.org/10.3389/fncom.2016.00123 |