Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • News & Views
  • Published:

Analyzing neural data at huge scale

A new distributed computing framework for data analysis enables neuroscientists to meet the computational demands of modern experimental technologies.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1: Data sets recorded from the brain are growing in scale and require scalable analysis methods.

References

  1. Freeman, J. et al. Nat. Methods 11, 941–950 (2014).

    Article  CAS  PubMed  Google Scholar 

  2. Kerr, J.N.D. & Denk, W. Nat. Rev. Neurosci. 9, 195–205 (2008).

    CAS  PubMed  Google Scholar 

  3. Kipke, D.R. et al. J. Neurosci. 28, 11830–11838 (2008).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Ahrens, M.B., Orger, M.B., Robson, D.N., Li, J.M. & Keller, P.J. Nat. Methods 10, 413–420 (2013).

    Article  CAS  PubMed  Google Scholar 

  5. Vladimirov, N. et al. Nat. Methods 11, 941–950 (2014).

    Article  PubMed  Google Scholar 

  6. Amat, F. et al. Nat. Methods 11, 951–958 (2014).

    Article  CAS  PubMed  Google Scholar 

  7. Mickoleit, M. et al. Nat. Methods 11, 919–922 (2014).

    Article  CAS  PubMed  Google Scholar 

  8. Cunningham, J.P. & Yu, B.M. Nat. Neurosci. doi:10.1038/nn.3776 (in the press).

  9. Zaharia, M. et al. in Proc. Netw. Syst. Des. Implement. 9 (USENIX, 2012).

  10. Dean, J. & Ghemawat, S. Commun. ACM 51, 107–113 (2008).

    Article  Google Scholar 

  11. Collins, F.S., Morgan, M. & Patrinos, A. Science 300, 286–290 (2003).

    Article  CAS  PubMed  Google Scholar 

  12. Bargmann, C. et al. Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Working Group Report to the Advisory Committee to the Director, NIH http://www.nih.gov/science/brain/2025/index.htm (NIH, 2014).

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to John P Cunningham.

Ethics declarations

Competing interests

The author declares no competing financial interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Cunningham, J. Analyzing neural data at huge scale. Nat Methods 11, 911–912 (2014). https://doi.org/10.1038/nmeth.3071

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nmeth.3071

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing