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Application of the hierarchical bootstrap to multi-level data in neuroscience

A common feature in many neuroscience datasets is the presence of hierarchical data structures, most commonly recording the activity of multiple neurons in multiple animals across multiple trials. Accordingly, the measurements constituting the dataset are not independent, even though the traditional...

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Publié dans:Neuron Behav Data Anal Theory
Auteurs principaux: Saravanan, Varun, Berman, Gordon J, Sober, Samuel J
Format: Artigo
Langue:Inglês
Publié: 2020
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Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7906290/
https://ncbi.nlm.nih.gov/pubmed/33644783
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