Computational and neural mechanisms of statistical pain learning
Pain fluctuates over time in ways that are non-random. Here, the authors show that the human brain can learn to predict these changes in a manner consistent with optimal Bayesian inference by engaging sensorimotor, parietal, and premotor regions.
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-11-01
|
Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-022-34283-9 |