4.7 Review

Improving data quality in neuronal population recordings

Journal

NATURE NEUROSCIENCE
Volume 19, Issue 9, Pages 1165-1174

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/nn.4365

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Funding

  1. Wellcome Trust [95668, 95669, 100154]
  2. EPSRC [K015141, 1005102]
  3. MRC
  4. Simons foundation [SCGB 325512, SCGB 325407SS]
  5. Human Frontier Science Program [CDA00063/2012, RGP0027/2016]
  6. National Science Foundation [1450824]
  7. Whitehall Foundation
  8. Klingenstein Foundation
  9. McKnight Foundation
  10. National Institutes of Health [R01NS091335, R0IEY024294]
  11. Human Frontiers Science Program [RGP0015/2013]
  12. Direct For Biological Sciences
  13. Div Of Biological Infrastructure [1450824] Funding Source: National Science Foundation
  14. EPSRC [EP/I005102/1] Funding Source: UKRI
  15. Engineering and Physical Sciences Research Council [EP/I005102/1] Funding Source: researchfish

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Understanding how the brain operates requires understanding how large sets of neurons function together. Modern recording technology makes it possible to simultaneously record the activity of hundreds of neurons, and technological developments will soon allow recording of thousands or tens of thousands. As with all experimental techniques, these methods are subject to confounds that complicate the interpretation of such recordings, and could lead to erroneous scientific conclusions. Here we discuss methods for assessing and improving the quality of data from these techniques and outline likely future directions in this field.

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