Bayesian Learning Models of Pain: A Call to Action

Current Opinion in Behavioral Sciences 26:54-61 (2019)
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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.

Author Profiles

Abby Tabor
University of South Australia
Christopher Burr
The Alan Turing Institute

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