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Personal profile

Research interests

Abby's core research focus is on the description of the experience of pain from an embodied perspective. She is interested in applying Bayesian models of perception to bodily experiences in the presence of inferred threat. Given the inherent uncertainty associated with the information sought from the body and the external world, her research attempts to uncover the mechanisms underlying the need for protective behaviours, such as pain. Using models of restricted action, such as in arm fracture or in amputation, Abby investigates the intricate relationship between perception and action and the emergent experiences of the body. She works closely with researchers across disciplines as well as industrial partners in an attempt to answer key questions in line with why some experiences persist beyond the time that is often deemed adaptive.

Research interests

  • Embodied pain
  • Predictive Processing
  • Perceptual inference

Research projects

Fingerprint Dive into the research topics where Abby Tabor is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Chronic Pain Medicine & Life Sciences
Pain Medicine & Life Sciences
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Geriatrics Medicine & Life Sciences
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Psychology Medicine & Life Sciences

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Projects 2015 2021

Research Output 2016 2019

2 Citations (Scopus)

Bayesian Learning Models of Pain: A Call to Action

Tabor, A. & Burr, C., 1 Apr 2019, In : Current Opinion in Behavioral Sciences. 26, p. 54-61 8 p.

Research output: Contribution to journalReview article

Open Access

Using advanced technologies to improve access to treatment, to improve treatment, and to directly alter experience

Eccleston, C., Tabor, A. & Keogh, E., 8 Aug 2018, Psychological Approaches to Pain Management (3rd Ed.): A Practitioner's Handbook. Turk, D. C. & Gatchel, R. J. (eds.). New York, U. S. A.: Guildford Press, p. 289-302

Research output: Chapter in Book/Report/Conference proceedingChapter

15 Citations (Scopus)
113 Downloads (Pure)

Embodied pain—negotiating the boundaries of possible action

Tabor, A., Keogh, E. & Eccleston, C., 1 Jun 2017, In : Pain. 158, 6, p. 1007-1011

Research output: Contribution to journalArticle

Open Access
18 Citations (Scopus)
75 Downloads (Pure)

Pain: a statistical account

Tabor, A., Thacker, M., Moseley, G. L. & Kording, K., 12 Jan 2017, In : Plos Computational Biology. 13, 1, e1005142.

Research output: Contribution to journalArticle

Open Access
Causal Inference
Bayesian inference