The control of tonic pain by active relief learning

  1. Suyi Zhang  Is a corresponding author
  2. Hiroaki Mano
  3. Michael Lee
  4. Wako Yoshida
  5. Mitsuo Kawato
  6. Trevor W Robbins
  7. Ben Seymour  Is a corresponding author
  1. University of Cambridge, United Kingdom
  2. Advanced Telecommunications Research Institute International, Japan
1 additional file

Additional files

All additional files

Any figure supplements, source code, source data, videos or supplementary files associated with this article are contained within this zip.

https://cdn.elifesciences.org/articles/31949/elife-31949-supp-v1.zip

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Suyi Zhang
  2. Hiroaki Mano
  3. Michael Lee
  4. Wako Yoshida
  5. Mitsuo Kawato
  6. Trevor W Robbins
  7. Ben Seymour
(2018)
The control of tonic pain by active relief learning
eLife 7:e31949.
https://doi.org/10.7554/eLife.31949