Correlations and Neuronal Population Information

Adam Kohn, Ruben Coen Cagli, Ingmar Kanitscheider, Alexandre Pouget

Research output: Contribution to journalArticle

86 Scopus citations

Abstract

Brain function involves the activity of neuronal populations. Much recent effort has been devoted to measuring the activity of neuronal populations in different parts of the brain under various experimental conditions. Population activity patterns contain rich structure, yet many studies have focused on measuring pairwise relationships between members of a larger population-termed noise correlations. Here we review recent progress in understanding how these correlations affect population information, how information should be quantified, and what mechanisms may give rise to correlations. As population coding theory has improved, it has made clear that some forms of correlation are more important for information than others. We argue that this is a critical lesson for those interested in neuronal population responses more generally: Descriptions of population responses should be motivated by and linked to well-specified function. Within this context, we offer suggestions of where current theoretical frameworks fall short.

Original languageEnglish (US)
Pages (from-to)237-256
Number of pages20
JournalAnnual Review of Neuroscience
Volume39
DOIs
StatePublished - Jul 8 2016

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Keywords

  • Decoding
  • Fisher information
  • Neural coding
  • Neural variability
  • Perception
  • Theoretical neuroscience

ASJC Scopus subject areas

  • Neuroscience(all)

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