Bayesian learning models of pain: A call to action

Tabor, Abby; Burr, Christopher

Abstract

Learning is fundamentally about action, enabling the successful navigation of a changing and uncertain environment. The experience of pain is central to this process, indicating the need for a change in action so as to mitigate potential threat to bodily integrity. This review considers the application of Bayesian models of learning in pain that inherently accommodate uncertainty and action, which, we shall propose are essential in understanding learning in both acute and persistent cases of pain.

Citation

Tabor, A., & Burr, C. (2019). Bayesian learning models of pain: A call to action. Current Opinion in Behavioral Sciences, 26, 54-61. https://doi.org/10.1016/j.cobeha.2018.10.006

• Journal Article Type: Review
• Online Publication Date: Oct 25, 2018
• Publication Date: Apr 1, 2019
• Deposit Date: Jun 9, 2023
• Journal: Current Opinion in Behavioral Sciences
• Print ISSN: 2352-1546
• Electronic ISSN: 2352-1546
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 26
• Pages: 54-61
• DOI: https://doi.org/10.1016/j.cobeha.2018.10.006
• Keywords: Bayesian learning models; Bayesian; pain
• Public URL: https://uwe-repository.worktribe.com/output/10850172
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S2352154618300810?via%3Dihub