Pain: a statistical account

Abby Tabor, Michael Thacker, G Lorimer Moseley, Konrad Kording

Research output: Contribution to journalArticle

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Abstract

Perception is seen as a process that utilises partial and noisy information to construct a coherent understanding of the world. Here we argue that the experience of pain is no different; it is based on incomplete, multimodal information, which is used to estimate potential bodily threat. We outline a Bayesian inference model, incorporating the key components of cue combination, causal inference, and temporal integration, which highlights the statistical problems in everyday perception. It is from this platform that we are able to review the pain literature, providing evidence from experimental, acute, and persistent phenomena to demonstrate the advantages of adopting a statistical account in pain. Our probabilistic conceptualisation suggests a principles-based view of pain, explaining a broad range of experimental and clinical findings and making testable predictions.
LanguageEnglish
Article numbere1005142
JournalPLoS Computational Biology
Volume13
Issue number1
DOIs
StatusPublished - 12 Jan 2017

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Pain
pain
Causal Inference
Bayesian inference
prediction
Acute
Cues
Partial
Prediction
Estimate
Range of data
Demonstrate
Perception
world
Model

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Tabor, A., Thacker, M., Moseley, G. L., & Kording, K. (2017). Pain: a statistical account. DOI: 10.1371/journal.pcbi.1005142

Pain : a statistical account. / Tabor, Abby; Thacker, Michael; Moseley, G Lorimer; Kording, Konrad.

In: PLoS Computational Biology, Vol. 13, No. 1, e1005142, 12.01.2017.

Research output: Contribution to journalArticle

Tabor, A, Thacker, M, Moseley, GL & Kording, K 2017, 'Pain: a statistical account' PLoS Computational Biology, vol. 13, no. 1, e1005142. DOI: 10.1371/journal.pcbi.1005142
Tabor A, Thacker M, Moseley GL, Kording K. Pain: a statistical account. PLoS Computational Biology. 2017 Jan 12;13(1). e1005142. Available from, DOI: 10.1371/journal.pcbi.1005142
Tabor, Abby ; Thacker, Michael ; Moseley, G Lorimer ; Kording, Konrad. / Pain : a statistical account. In: PLoS Computational Biology. 2017 ; Vol. 13, No. 1.
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