Measuring and interpreting neuronal correlations

Marlene R. Cohen, Adam Kohn

Research output: Contribution to journalReview articlepeer-review

618 Scopus citations


Mounting evidence suggests that understanding how the brain encodes information and performs computations will require studying the correlations between neurons. The recent advent of recording techniques such as multielectrode arrays and two-photon imaging has made it easier to measure correlations, opening the door for detailed exploration of their properties and contributions to cortical processing. However, studies have reported discrepant findings, providing a confusing picture. Here we briefly review these studies and conduct simulations to explore the influence of several experimental and physiological factors on correlation measurements. Differences in response strength, the time window over which spikes are counted, spike sorting conventions and internal states can all markedly affect measured correlations and systematically bias estimates. Given these complicating factors, we offer guidelines for interpreting correlation data and a discussion of how best to evaluate the effect of correlations on cortical processing.

Original languageEnglish (US)
Pages (from-to)811-819
Number of pages9
JournalNature Neuroscience
Issue number7
StatePublished - Jul 2011

ASJC Scopus subject areas

  • Neuroscience(all)


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