Bayesian Learning Models of Pain: A Call to Action

Abby Tabor, Christopher D Burr

Research output: Contribution to journalReview article (Academic Journal)peer-review

20 Citations (Scopus)
473 Downloads (Pure)


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.
Original languageEnglish
Pages (from-to)54-61
Number of pages8
JournalCurrent Opinion in Behavioral Sciences
Early online date25 Oct 2018
Publication statusPublished - 1 Apr 2019


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