Bayesian correction for attenuation of correlation in multi-trial spike count data

Journal of Neurophysiology

Volumn 101, Issue 4, 2009, Pages 2186-2193

  Behseta, Sam ^a   Berdyyeva, Tamara ^b   Olson, Carl R ^b   Kass, Robert E ^b  

^a CALIFORNIA STATE UNIVERSITY   (United States)

^b CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BAYES THEOREM; CORRELATION ANALYSIS; FRONTAL CORTEX; MACACA; NERVE CELL; NONHUMAN; PRIORITY JOURNAL; SIMULATION; SPIKE WAVE;

ACTION POTENTIALS; ANIMALS; BAYES THEOREM; COMPUTER SIMULATION; CONFIDENCE INTERVALS; FRONTAL LOBE; MACACA MULATTA; MODELS, NEUROLOGICAL; NEURONS; REWARD; SACCADES; STATISTICS, NONPARAMETRIC;

EID: 65949092762     PISSN: 00223077     EISSN: 15221598     Source Type: Journal    
DOI: 10.1152/jn.90727.2008     Document Type: Article

References (22)

1. Behseta S, Kass RE, Wallstrom G. Hierarchical models for assessing variability among functions. Biometrika 92: 419-434, 2005. (Pubitemid 40937644)
2. Carroll RJ, Ruppert D, Stefanski LA, Crainiceanu CM. Measurement Error in Nonlinear Models, A Modern Perspective. New York: Chapman and Hall, 2006.
3. Carroll RJ Stefanski LA. Measurement error, instrumental variables and corrections for attenuation with application to meta-analysis. Stat Med 13: 1265-1282, 1994. (Pubitemid 24213431)
4. Casella G, George EI. Explaining the Gibbs sampler. J Am Stat Assoc 46: 167-174, 1992.
5. Charles EP. The correction for attenuation due to measurement error: clarifying concepts and creating confidence sets. Psychol Methods 10.2: 206-226, 2005. (Pubitemid 41017485)
6. DasGupta A. Asymptotic Theory of Statistics and Probability. New York: Springer-Verlag, 2008.
7. Edwards R, Xiao D, Keysers C, Foldiak P, Perrett D. Color sensitivity of cells responsive to complex stimuli in the temporal cortex. J Neurophysiol 90: 1245-1256, 2003. (Pubitemid 37092602)
8. Fisher RA. On a distribution yielding the error functions of several wellknown statistics. Proc Int Congr Math 2: 805-813, 1924.
9. Frost C, Thompson SG. Correcting for regression dilution bias: comparison of methods for a single predictor variable. J R Statist Soc A 163: 173-189, 2000.
10. Fuller WA. Measurement Error Models. New York: Wiley, 1987.
11. Gelman A, Carlin JB, Stern H, Rubin DR. Bayesian Data Analysis. London: Chapman and Hall, 1995.
12. Horwitz GD, Newsome WT. Target selection for saccadic eye movements: direction-selective visual responses in the superior colliculus. J Neurophysiol 86: 2527-2542, 2001.
13. Hunter JE Schmidt FL. Methods of Meta-Analysis. Newbury Park, CA: Sage, 1990.
14. Kass RE, Natarajan R. A default conjugate prior for variance components in generalized linear mixed models (comment on article by Browne and Draper). Bayesian Anal 1: 535-542, 2006.
15. Olson CR, Gettner SN, Ventura V, Carta R, Kass RE. Neuronal activity in macaque supplementary eye field during planning of saccades in response to pattern and spatial cues. J Neurophysiol 84: 1369-1384, 2000.
16. Patterson HD, Thompson R. Recovery of inter-block information when block sizes are unequal. Biometrika 58: 545-554, 1971.
17. Pearson K. On the laws of inheritance in man. II. On the inheritance of mental and moral characters in man, and its comparison with the inheritance of physical characters. Biometrika 2: 131-159, 1904.
18. Roesch MR, Olson CR. Impact of expected reward on neuronal activity in prefrontal cortex, frontal and supplementary eye fields and premotor cortex. J Neurophysiol 90: 1766-1789, 2003.
19. Spearman C. The proof and measurement of association between two things. Am J Psychol 15: 72-101, 1904.
20. Wasserman LA. All of Statistics. New York: Springer-Verlag, 2004.
21. Wilks GR, Richardson S, Spiegelhalter D. Markov Monte Carlo in Practice. London: Chapman and Hall, 1995.
22. Winnie PH, Belfry MJ. Interpretive problems when correcting for attenuation. J Educat Measure 19: 125-134, 1982.