Accurately estimating neuronal correlation requires a new spike-sorting paradigm

Proceedings of the National Academy of Sciences of the United States of America

Volumn 109, Issue 19, 2012, Pages 7230-7235

  Ventura, Valérie ^a   Gerkin, Richard C ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Clustering; Correlated spikes; Point process history; Statistical bias; Statistical power

Indexed keywords

ARTICLE; CORRELATION COEFFICIENT; ELECTRODE; NERVE CELL; NEUROPHYSIOLOGY; PRIORITY JOURNAL; SPIKE WAVE; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; HUMANS; MODELS, NEUROLOGICAL; NEURONS; NEUROPHYSIOLOGY; REPRODUCIBILITY OF RESULTS;

EID: 84860830731     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1115236109     Document Type: Article

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