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Bayesian Correction for Attenuation of Correlation in Multi-Trial Spike Count Data



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Sam Behseta Tamara Berdyyeva Carl R Olson and Robert E Kass J Neurophysiol 101 2186 2193 2009 First published Jan 7 2009 doi 10 1152 jn 90727 2008 You might find this additional information useful This article cites 15 articles 6 of which you can access free at http jn physiology org cgi content full 101 4 2186 BIBL Updated information and services including high resolution figures can be found at http jn physiology org cgi content full 101 4 2186 Additional material and information about Journal of Neurophysiology can be found at http www the aps org publications jn This information is current as of March 10 2010 Downloaded from jn physiology org on March 10 2010 Journal of Neurophysiology publishes original articles on the function of the nervous system It is published 12 times a year monthly by the American Physiological Society 9650 Rockville Pike Bethesda MD 20814 3991 Copyright 2005 by the American Physiological Society ISSN 0022 3077 ESSN 1522 1598 Visit our website at http www the aps org J Neurophysiol 101 2186 2193 2009 First published January 7 2009 doi 10 1152 jn 90727 2008 Innovative Methodology Bayesian Correction for Attenuation of Correlation in Multi Trial Spike Count Data Sam Behseta 1 Tamara Berdyyeva 2 Carl R Olson 2 and Robert E Kass2 3 1 Department of Mathematics California State University Fullerton California and 2Center for the Neural Basis of Cognition and 3Department of Statistics Carnegie Mellon University Pittsburgh Pennsylvania Submitted 2 July 2008 accepted in final form 20 December 2008 INTRODUCTION A central theme in the statistical analysis of neuronal data is the appropriate accounting for uncertainty This often involves the inclusion of sources of variability that might otherwise be omitted Although in some cases taking into account additional sources of variability may decrease the magnitude of an effect Behseta et al 2005 in other cases the effect of interest may actually increase An important example of this second situation



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