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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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Detalhes bibliográficos
Main Authors: Terry, K, Griffin, L
Formato: Artigo
Idioma:Inglês
Publicado em: 2007
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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