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HOW COMPUTATIONAL TECHNIQUE AND SPIKE TRAIN PROPERTIES AFFECT COHERENCE DETECTION
Spike train coherence is used to characterize common inputs that drive motor unit synchronization. However, data segmentation, overlap, and taper can affect coherence magnitude, thereby influencing the incidence at which significant coherence is detected. Also, the effect of spike train firing rate...
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Main Authors: | , |
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Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
2007
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Assuntos: | |
Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2268650/ https://ncbi.nlm.nih.gov/pubmed/17976736 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jneumeth.2007.09.014 |
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