A method for assessing significance of peaks in cross-correlation histograms

Cross-correlation histograms have been widely used to analyze the interdependence of two simultaneously observed trains of neuronal spikes or muscle motor unit discharges. Here, a formula is presented for calculating a synchronization index from such a histogram to reliably detect subtle correlation...

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Veröffentlicht in:Journal of neuroscience methods 1987-12, Vol.22 (2), p.125-131
Hauptverfasser: Wiegner, Allen W., Wierzbicka, M. Margaret
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container_title Journal of neuroscience methods
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creator Wiegner, Allen W.
Wierzbicka, M. Margaret
description Cross-correlation histograms have been widely used to analyze the interdependence of two simultaneously observed trains of neuronal spikes or muscle motor unit discharges. Here, a formula is presented for calculating a synchronization index from such a histogram to reliably detect subtle correlations such as short-term synchronization, even in the case of relatively sparse data, as well as allowing comparison of the degree of synchronization of grouped or correlated motor unit discharges. The index takes into account the number of counts in the histogram, number of bins, and width of the histogram peak. A table of critical values of the index, at several levels of statistical significance, is included.
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subjects Animals
Biological and medical sciences
Cross-correlation histogram
Electromyography
Fundamental and applied biological sciences. Psychology
Humans
Isolated neuron and nerve. Neuroglia
Models, Neurological
Motor Neurons - physiology
Motor unit
Neurology - methods
Neurons - physiology
Synchronization index
Time Factors
Vertebrates: nervous system and sense organs
title A method for assessing significance of peaks in cross-correlation histograms
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