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A comparison of computational methods for detecting bursts in neuronal spike trains and their application to human stem cell-derived neuronal networks
Accurate identification of bursting activity is an essential element in the characterization of neuronal network activity. Despite this, no one technique for identifying bursts in spike trains has been widely adopted. Instead, many methods have been developed for the analysis of bursting activity, o...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Physiological Society
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4969396/ https://www.ncbi.nlm.nih.gov/pubmed/27098024 http://dx.doi.org/10.1152/jn.00093.2016 |