1. Neuroscience

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
https://doi.org/10.7554/eLife.31949
Share this article
Cite this article
  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
  2. Download BibTeX
  3. Download .RIS

Peer review process

This article was accepted for publication via eLife's original publishing model. eLife publishes the authors' accepted manuscript as a PDF only version before the full Version of Record is ready for publication. Peer reviews are published along with the Version of Record.

History

  1. Version of Record updated
  2. Version of Record published
  3. Accepted Manuscript published
  4. Accepted
  5. Received

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

Share this article

https://doi.org/10.7554/eLife.31949