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

  title={Bayesian correction for attenuation of correlation in multi-trial spike count data.},
  author={Sam Behseta and Tamara K. Berdyyeva and Carl R. Olson and Robert E. Kass},
  journal={Journal of neurophysiology},
  volume={101 4},
When correlation is measured in the presence of noise, its value is decreased. In single-neuron recording experiments, for example, the correlation of selectivity indices in a pair of tasks may be assessed across neurons, but, because the number of trials is limited, the measured index values for each neuron will be noisy. This attenuates the correlation. A correction for such attenuation was proposed by Spearman more than 100 yr ago, and more recent work has shown how confidence intervals may… CONTINUE READING


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