Projects per year
Personal profile
Biography
Dr Thomas FitzGerald joined UEA as a lecturer in 2016, and was promoted to Associate Professor in 2019. He read Philosophy at the University of Cambridge (2003), and, after a brief interlude at medical school, completed a PhD at the Institute of Psychiatry, King’s College London (2010). He then spent five years as a postdoctoral fellow at University College London, working at both the Wellcome Trust Centre for Neuroimaging and the Max Planck-UCL Centre for Computational Psychiatry and Ageing Research. In 2018 Thomas was awarded an ERC Starting Grant to study the computational mechanisms of probabilistic inference and learning in the brain.
Key Research Interests
Thomas uses computational modelling, behavioural testing and neuroimaging to address problems in learning and decision-making. Particular areas of interest include reward learning, structure learning (how we build mental models of the world) and the Bayesian brain hypothesis. He also has an interest in using computational approaches to understand psychiatric disorders, particularly psychosis.
Get in touch if you would like to discuss possible (funded) PhD or postdoctoral positions in these areas, or are interested in getting research experience in the lab.
Teaching Interests
Module co-ordinator: Brain, Minds and Machines (Third Year)
Lecturer: Cognitive Neuroscience Topics and Methods (Masters)
External positions
Honorary Fellow, University College London
Honorary Fellow, University College London
Collaborations and top research areas from the last five years
Projects
- 1 Active
-
Challenging and extending predictive coding as an account of brain function
1/01/19 → 31/05/25
Project: Research
Research output
- 42 Article
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A computational analysis of abnormal belief-updating processes and their association with psychotic experiences and childhood trauma in a UK birth cohort
Croft, J., Teufel, C., Heron, J., Fletcher, P. C., David, A. S., Lewis, G., Moutoussis, M., FitzGerald, T. H. B., Linden, D. E. J., Thompson, A., Jones, P. B., Cannon, M., Holmans, P., Adams, R. A. & Zammit, S., Jul 2022, In: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. 7, 7, p. 725-734 10 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile6 Citations (Scopus)8 Downloads (Pure) -
Pupil dilation indexes automatic and dynamic inference about the precision of stimulus distributions
Silvestrin, F., Penny, W. D. & FitzGerald, T. H. B., Apr 2021, In: Journal of Mathematical Psychology. 101, 102503.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Downloads (Pure) -
Retrospective inference as a form of bounded rationality, and its beneficial influence on learning
FitzGerald, T., Penny, W. D., Bonnici, H. & Adams, R., 18 Feb 2020, In: Frontiers in Artificial Intelligence. 3, 14 p., 2.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (Scopus)23 Downloads (Pure) -
Computational mechanisms of curiosity and goal-directed exploration
Schwartenbeck, P., Passecker, J., Hauser, T. U., FitzGerald, T. H., Kronbichler, M. & Friston, K. J., 10 May 2019, In: eLife. 8, e41703.Research output: Contribution to journal › Article › peer-review
Open AccessFile93 Citations (Scopus)33 Downloads (Pure) -
Modeling subjective belief states in computational psychiatry: interoceptive inference as a candidate framework
Gu, X., FitzGerald, T. H. B. & Friston, K. J., Aug 2019, In: Psychopharmacology. 236, 8, p. 2405–2412Research output: Contribution to journal › Article › peer-review
14 Citations (Scopus)