- Rigoli, F. (2023). Perception of political influence within the general population of the United Kingdom. International Social Science Journal. doi:10.1111/issj.12404.
- Rigoli, F. and Pezzulo, G. (2023). The traps of adaptation: Addiction as maladaptive referent-dependent evaluation. Cognitive, Affective, & Behavioral Neuroscience. doi:10.3758/s13415-023-01086-4.
- Rigoli, F. (2023). The Computations Underlying Religious Conversion: A Bayesian Decision Model. Journal of Cognition and Culture, 23(1-2), pp. 241–257. doi:10.1163/15685373-12340161.
- Rigoli, F. (2023). Political Extremism and a Generalized Propensity to Discriminate Among Values. Political Psychology, 44(2), pp. 301–318. doi:10.1111/pops.12839.
- Rigoli, F. (2022). Belief Formation in the Social Context: A Bayesian Decision Account. Changing Societies & Personalities, 6(4), pp. 750–763. doi:10.15826/csp.2022.6.4.201.
- Rigoli, F. and Pezzulo, G. (2022). A reference-based theory of motivation and effort allocation. Psychonomic Bulletin & Review, 29(6), pp. 2070–2082. doi:10.3758/s13423-022-02135-8.
- Rigoli, F. (2022). Prisoner of the present: Borderline personality and a tendency to overweight cues during Bayesian inference. Personality Disorders: Theory, Research, and Treatment, 13(6), pp. 609–618. doi:10.1037/per0000549.
- Rigoli, F. and Martinelli, C. (2022). A computational theory of evaluation processes in apathy. Current Psychology. doi:10.1007/s12144-022-03643-5.
- Rigoli, F. (2022). Deconstructing the Conspiratorial Mind: the Computational Logic Behind Conspiracy Theories. Review of Philosophy and Psychology. doi:10.1007/s13164-022-00657-7.
- Rigoli, F. (2022). When all glasses look half empty: a computational model of reference dependent evaluation to explain depression. Journal of Cognitive Psychology. doi:10.1080/20445911.2022.2107650.
- Rigoli, F. (2022). The Computations of a Traumatized Mind. Harvard Review of Psychiatry. doi:10.1097/hrp.0000000000000327.
- Rigoli, F. (2021). A General Attitude towards Shopping and Its Link with Basic Human Values in the UK. Changing Societies & Personalities, 5(4), pp. 618–635. doi:10.15826/csp.2021.5.4.153.
- Rigoli, F., Martinelli, C. and Pezzulo, G. (2021). I want to believe: delusion, motivated reasoning, and Bayesian decision theory. Cognitive Neuropsychiatry, 26(6), pp. 408–420. doi:10.1080/13546805.2021.1982686.
- Rigoli, F., Martinelli, C. and Pezzulo, G. (2021). The Half-Empty/Full Glass in Mental Health: A Reference-Dependent Computational Model of Evaluation in Psychopathology. Clinical Psychological Science, 9(6), pp. 1021–1034. doi:10.1177/2167702621998344.
- Rigoli, F. (2021). The Link Between COVID-19, Anxiety, and Religious Beliefs in the United States and the United Kingdom. Journal of Religion and Health, 60(4), pp. 2196–2208. doi:10.1007/s10943-021-01296-5.
- Rigoli, F. (2021). The psychology of ultimate values: A computational perspective. Journal for the Theory of Social Behaviour. doi:10.1111/jtsb.12311.
- Moutoussis, M., Garzón, B., Neufeld, S., Bach, D.R., Rigoli, F., Goodyer, I. … Kievit, R. (2021). Decision-making ability, psychopathology, and brain connectivity. Neuron. doi:10.1016/j.neuron.2021.04.019.
- Rigoli, F. (2021). A computational perspective on faith: religious reasoning and Bayesian decision. Religion, Brain & Behavior, 11(2), pp. 147–164. doi:10.1080/2153599x.2020.1812704.
- Rigoli, F. and Martinelli, C. (2021). A Reference-Dependent Computational Model of Anorexia Nervosa. Cognitive, Affective, & Behavioral Neuroscience, 21(2), pp. 269–277. doi:10.3758/s13415-021-00886-w.
- Rigoli, F. (2021). Masters of suspicion: A Bayesian decision model of motivated political reasoning. Journal for the Theory of Social Behaviour. doi:10.1111/jtsb.12274.
- Rigoli, F. (2021). Political motivation: A referent evaluation mathematical model. Journal of Social and Political Psychology, 9(1), pp. 8–23. doi:10.5964/jspp.5539.
- Rigoli, F. (2020). Opinions about immigration, patriotism, and welfare policies during the coronavirus emergency: The role of political orientation and anxiety. The Social Science Journal pp. 1–10. doi:10.1080/03623319.2020.1806583.
- Michely, J., Rigoli, F., Rutledge, R.B., Hauser, T.U. and Dolan, R.J. (2020). Distinct Processing of Aversive Experience in Amygdala Subregions. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 5(3), pp. 291–300. doi:10.1016/j.bpsc.2019.07.008.
- Rigoli, F. (2019). Reference effects on decision-making elicited by previous rewards. Cognition, 192, pp. 104034–104034. doi:10.1016/j.cognition.2019.104034.
- Rigoli, F., Martinelli, C. and Shergill, S.S. (2019). The role of expecting feedback during decision-making under risk. NeuroImage, 202, pp. 116079–116079. doi:10.1016/j.neuroimage.2019.116079.
- Rigoli, F., Michely, J., Friston, K.J. and Dolan, R.J. (2019). The role of the hippocampus in weighting expectations during inference under uncertainty. Cortex, 115, pp. 1–14. doi:10.1016/j.cortex.2019.01.005.
- Rigoli, F. and Dolan, R. (2018). Better than expected: the influence of option expectations during decision-making. Proceedings of the Royal Society B: Biological Sciences, 285(1893), pp. 20182472–20182472. doi:10.1098/rspb.2018.2472.
- Fiore, V.G., Nolte, T., Rigoli, F., Smittenaar, P., Gu, X. and Dolan, R.J. (2018). Value encoding in the globus pallidus: fMRI reveals an interaction effect between reward and dopamine drive. NeuroImage, 173, pp. 249–257. doi:10.1016/j.neuroimage.2018.02.048.
- Pezzulo, G., Rigoli, F. and Friston, K.J. (2018). Hierarchical Active Inference: A Theory of Motivated Control. TRENDS IN COGNITIVE SCIENCES, 22(4), pp. 294–306. doi:10.1016/j.tics.2018.01.009.
- Rigoli, F., Preller, K.H. and Dolan, R.J. (2018). Risk preference and choice stochasticity during decisions for other people. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE, 18(2), pp. 331–341. doi:10.3758/s13415-018-0572-x.
- Martinelli, C., Rigoli, F., Averbeck, B. and Shergill, S.S. (2018). The value of novelty in schizophrenia. Schizophrenia Research, 192, pp. 287–293. doi:10.1016/j.schres.2017.05.007.
- Rigoli, F., Chew, B., Dayan, P. and Dolan, R.J. (2018). Learning Contextual Reward Expectations for Value Adaptation. Journal of Cognitive Neuroscience, 30(1), pp. 50–69. doi:10.1162/jocn_a_01191.
- Martinelli, C., Rigoli, F., Dolan, R.J. and Shergill, S.S. (2018). Decreased value-sensitivity in schizophrenia. Psychiatry Research, 259, pp. 295–301. doi:10.1016/j.psychres.2017.10.031.
- Rigoli, F., Mathys, C., Friston, K.J. and Dolan, R.J. (2017). A unifying Bayesian account of contextual effects in value-based choice. PLoS Computational Biology, 13(10), pp. 1–1. doi:10.1371/journal.pcbi.1005769.
- Rigoli, F., Pezzulo, G., Dolan, R. and Friston, K. (2017). A Goal-Directed Bayesian Framework for Categorization. Frontiers in Psychology, 8. doi:10.3389/fpsyg.2017.00408.
- Friston, K., FitzGerald, T., Rigoli, F., Schwartenbeck, P. and Pezzulo, G. (2017). Active Inference: A Process Theory. Neural Computation, 29(1), pp. 1–49. doi:10.1162/neco_a_00912.
- Rigoli, F., Rutledge, R.B., Chew, B., Ousdal, O.T., Dayan, P. and Dolan, R.J. (2016). Dopamine Increases a Value-Independent Gambling Propensity. Neuropsychopharmacology, 41(11), pp. 2658–2667. doi:10.1038/npp.2016.68.
- Rigoli, F., Chew, B., Dayan, P. and Dolan, R.J. (2016). The Dopaminergic Midbrain Mediates an Effect of Average Reward on Pavlovian Vigor. Journal of Cognitive Neuroscience, 28(9), pp. 1303–1317. doi:10.1162/jocn_a_00972.
- Friston, K., FitzGerald, T., Rigoli, F., Schwartenbeck, P., O⿿Doherty, J. and Pezzulo, G. (2016). Active inference and learning. Neuroscience & Biobehavioral Reviews, 68, pp. 862–879. doi:10.1016/j.neubiorev.2016.06.022.
- Rigoli, F., Friston, K.J. and Dolan, R.J. (2016). Neural processes mediating contextual influences on human choice behaviour. Nature Communications, 7(1). doi:10.1038/ncomms12416.
- Martinelli, C., Rigoli, F. and Shergill, S.S. (2016). Aberrant Force Processing in Schizophrenia. Schizophrenia Bulletin. doi:10.1093/schbul/sbw092.
- Pezzulo, G., Cartoni, E., Rigoli, F., Pio-Lopez, L. and Friston, K. (2016). Active Inference, epistemic value, and vicarious trial and error. Learning & Memory, 23(7), pp. 322–338. doi:10.1101/lm.041780.116.
- Rigoli, F., Chew, B., Dayan, P. and Dolan, R.J. (2016). Multiple value signals in dopaminergic midbrain and their role in avoidance contexts. NeuroImage, 135, pp. 197–203. doi:10.1016/j.neuroimage.2016.04.062.
- Rigoli, F., Friston, K.J., Martinelli, C., Selaković, M., Shergill, S.S. and Dolan, R.J. (2016). A Bayesian model of context-sensitive value attribution. eLife, 5. doi:10.7554/elife.16127.
- Fiore, V.G., Rigoli, F., Stenner, M.-.P., Zaehle, T., Hirth, F., Heinze, H.-.J. … Dolan, R.J. (2016). Changing pattern in the basal ganglia: motor switching under reduced dopaminergic drive. Scientific Reports, 6(1). doi:10.1038/srep23327.
- Rigoli, F., Rutledge, R.B., Dayan, P. and Dolan, R.J. (2016). The influence of contextual reward statistics on risk preference. NeuroImage, 128, pp. 74–84. doi:10.1016/j.neuroimage.2015.12.016.
- Rigoli, F., Ewbank, M., Dalgleish, T. and Calder, A. (2016). Threat visibility modulates the defensive brain circuit underlying fear and anxiety. Neuroscience Letters, 612, pp. 7–13. doi:10.1016/j.neulet.2015.11.026.
- Rigoli, F., Pezzulo, G. and Dolan, R.J. (2016). Prospective and Pavlovian mechanisms in aversive behaviour. Cognition, 146, pp. 415–425. doi:10.1016/j.cognition.2015.10.017.
- Pezzulo, G., Rigoli, F. and Friston, K. (2015). Active Inference, homeostatic regulation and adaptive behavioural control. Progress in Neurobiology, 134, pp. 17–35. doi:10.1016/j.pneurobio.2015.09.001.
- Friston, K., Rigoli, F., Ognibene, D., Mathys, C., Fitzgerald, T. and Pezzulo, G. (2015). Active inference and epistemic value. Cognitive Neuroscience, 6(4), pp. 187–214. doi:10.1080/17588928.2015.1020053.
- Pezzulo, G., Rigoli, F. and Chersi, F. (2013). The Mixed Instrumental Controller: Using Value of Information to Combine Habitual Choice and Mental Simulation. Frontiers in Psychology, 4. doi:10.3389/fpsyg.2013.00092.
- Rigoli, F., Pavone, E.F. and Pezzulo, G. (2012). Aversive Pavlovian Responses Affect Human Instrumental Motor Performance. Frontiers in Neuroscience, 6. doi:10.3389/fnins.2012.00134.
- Pezzulo, G. and Rigoli, F. (2011). The Value of Foresight: How Prospection Affects Decision-Making. Frontiers in Neuroscience, 5. doi:10.3389/fnins.2011.00079.
Dr Francesco Rigoli
Contact details
Address
Dr Francesco Rigoli
City, University of London
Northampton Square
London EC1V 0HB
United Kingdom
Northampton Square
London EC1V 0HB
United Kingdom
Personal links
About
Overview
Dr. Rigoli's current research examines the psychological processes underlying broad cultural phenomena such as in politics and in religion. These areas are investigated adopting a multidisciplinary approach integrating computational modelling, cognitive neuroscience, and sociology. Dr Rigoli is happy to consider potential PhD students interested in these areas. Examples of topics for a PhD project are:
- The cognitive processes underlying motivated reasoning in political judgments
- The psychological processes underlying political motivation
- The role of motivated reasoning in the formation of religious beliefs
- The question of why people seek equality in society
- The cultural repercussions of the COVID-19 pandemic
- The role of values in political extremism
Qualifications
- PhD, University of Siena, Italy, 2009 – 2012
- MSc, University of Bologna, Bologna, Italy, 2005 – 2007
- BSc, University of Florence, Florence, Italy, 2002 – 2005
Employment
- Research Associate, University College London, 2012 – 2016