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 |
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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. |
doi_str_mv | 10.1016/0165-0270(87)90006-9 |
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Margaret</creatorcontrib><title>A method for assessing significance of peaks in cross-correlation histograms</title><title>Journal of neuroscience methods</title><addtitle>J Neurosci Methods</addtitle><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.</description><subject>Animals</subject><subject>Biological and medical sciences</subject><subject>Cross-correlation histogram</subject><subject>Electromyography</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Humans</subject><subject>Isolated neuron and nerve. Neuroglia</subject><subject>Models, Neurological</subject><subject>Motor Neurons - physiology</subject><subject>Motor unit</subject><subject>Neurology - methods</subject><subject>Neurons - physiology</subject><subject>Synchronization index</subject><subject>Time Factors</subject><subject>Vertebrates: nervous system and sense organs</subject><issn>0165-0270</issn><issn>1872-678X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1987</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kMFq3DAQhkVJSTdp3yAFHUJJD04kW9bYl0AISVNY6CWB3oQsjzZKbWur8Qb69tVmlz3mMAzMfDP8fIydSXEphdRXuepClCAuGvjeCiF00X5gC9lAWWhofh-xxQH5xE6IXjKjWqGP2XGlKgCoF2x5w0ecn2PPfUzcEiFRmFacwmoKPjg7OeTR8zXaP8TDxF2KRIWLKeFg5xAn_hxojqtkR_rMPno7EH7Z91P2dH_3ePtQLH_9-Hl7syycqsu5AO0rqDoFtbRV5-uuLyVWWipR60pr4VCgtLXqWlQApfUa2kZbXeaZttJXp-zb7u86xb8bpNmMgRwOg50wbsgAtLVuSpFBtQPfUif0Zp3CaNM_I4XZSjRbQ2ZryDRg3iSaNp993f_fdCP2h6O9tbw_3-8tOTv4lC0FOmCglBYSMna9wzC7eA2YDLmAWWgfErrZ9DG8n-M_Uq6M0Q</recordid><startdate>19871201</startdate><enddate>19871201</enddate><creator>Wiegner, Allen W.</creator><creator>Wierzbicka, M. 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Psychology</topic><topic>Humans</topic><topic>Isolated neuron and nerve. Neuroglia</topic><topic>Models, Neurological</topic><topic>Motor Neurons - physiology</topic><topic>Motor unit</topic><topic>Neurology - methods</topic><topic>Neurons - physiology</topic><topic>Synchronization index</topic><topic>Time Factors</topic><topic>Vertebrates: nervous system and sense organs</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wiegner, Allen W.</creatorcontrib><creatorcontrib>Wierzbicka, M. 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Margaret</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A method for assessing significance of peaks in cross-correlation histograms</atitle><jtitle>Journal of neuroscience methods</jtitle><addtitle>J Neurosci Methods</addtitle><date>1987-12-01</date><risdate>1987</risdate><volume>22</volume><issue>2</issue><spage>125</spage><epage>131</epage><pages>125-131</pages><issn>0165-0270</issn><eissn>1872-678X</eissn><coden>JNMEDT</coden><abstract>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. 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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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