List of publications
Preprints and manuscripts under review
1. Bennett, D., Radulescu, A., Zorowitz, S., Felso, V., & Niv, Y. (under review). Affect-congruent attention drives changes in reward expectations. Preprint hosted at PsyArXiv. [pdf]
Peer-reviewed publications
2023 and in press
2. Forbes, L. & Bennett, D. (in press). The effect of reward prediction errors on subjective affect depends on outcome valence and decision context. Manuscript accepted for publication in Emotion. [pdf]
3. Zorowitz, S., Niv, Y., Solis, J. & Bennett, D. (in press). Inattentive responding can induce spurious associations between task behavior and symptom measures. Manuscript accepted for publication in Nature Human Behaviour. [pdf] [GitHub repo]
4. Bennett, D., Nakamura, J., Vinnakota, C., Sokolenko, E., Nithianantharajah, J., van den Buuse, M., Jones, N. C., Sundram, S., & Hill, R. (in press). Mouse behaviour on the trial-unique non-matching-to-location (TUNL) touchscreen task reflects a mixture of distinct working memory codes and response biases. Journal of Neuroscience, 43(31), 5693-5709. [journal link][pdf]
5. Myles, D., Bennett, D., Carter, A., Yücel, M., Albertella, L., de Lacy-Vawdon, C., & Livingstone, C. (in press). “Losses disguised as wins” in electronic gambling machines contribute to win oversetimation in a large online sample. Manuscript accepted for publication in Addictive Behaviors Reports.
2022
6. Bennett, D., Davidson, G., & Niv, Y. (2022). A model of mood as integrated advantage. Psychological Review, 129(3), 513-541. [pdf] [OSF project]
7. Weber, I., Zorowitz, S., Niv, Y., & Bennett, D. (2022). The effects of induced affect on Pavlovian-instrumental interactions in reinforcement learning. Cognition and Emotion, 36(7), 1343-1360. [pdf]
8. Bennett, D. (2022). No evidence for short-timescale temporal declines in expectations within a controlled cognitive task. Proceedings of the 44th Annual Meeting of the Cognitive Science Society. [link]
2021
9. Bennett, D., Niv, Y. & Langdon, A. J. (2021). Value-free reinforcement learning: Policy optimization as a minimal model of operant behavior. Current Opinion in Behavioral Sciences, 41, 113-121. [pdf]
10. Smillie, L. D., Bennett, D., Tan, N. P., Sutcliffe, K., Fayn, K., Bode, S., & Wacker, J. (2021). Does openness/intellect predict sensitivity to the reward value of information? Cognitive, Affective, and Behavioral Neuroscience, 21(5), 993-1009. [link]
11. Goh, A. X.-A., Bennett, D., Bode, S., & Chong, T. T.-J. (2021). Neurocomputational mechanisms underlying the subjective value of information. Communications Biology, 4(1), 1-14. [link]
12. Zorowitz, S., Bennett, D., Choe, G., & Niv, Y. (2021). A recurring reproduction error in the administration of the Generalized Anxiety Disorder scale. The Lancet Psychiatry, 8(3), 180-181.
13. Bennett, D., Sutcliffe, K., Tan, N. P., Smillie, L. D., & Bode, S. (2021). Anxious and obsessive-compulsive traits are independently associated with valuation of non-instrumental information. Journal of Experimental Psychology: General, 150(4), 739-755. [pdf] [OSF project]
2020
14. Bennett, D., & Niv, Y. (2020). Opening Burton’s clock: Psychiatric insights from computational cognitive models. Chapter in The Cognitive Neurosciences (6th edition; M. Gazzaniga, ed.). [pdf]
2019
15.Bennett, D., Silverstein, S., & Niv, Y. (2019). The two cultures of computational psychiatry. JAMA Psychiatry, 76(6), 563-564. [pdf]
16. Bennett, D+., Sasmita, K+., Maloney, R. T., Murawski, C., & Bode, S. (2019). Monetary feedback modulates performance and electrophysiological indices of belief updating in reward learning. Psychophysiology, 56(10), e13431. +These authors contributed equally. [pdf]
17. Bode, S., Feuerriegel, D., Bennett, D., & Alday, P. M. (2019). The Decision Decoding ToolBOX (DDTBOX): A multivariate pattern analysis toolbox for event-related potentials. Neuroinformatics, 17(1), 27-42. [pdf] [GitHub]
2018
18. Brydevall, M+., Bennett, D., Murawski, C., & Bode, S. (2018). The neural encoding of information prediction errors during non-instrumental information seeking. Scientific Reports, 8, 6134. +These authors contributed equally. [pdf]
19. Bennett, D, Yücel, M., & Murawski, C. (2018). Errors of statistical inference in the Information Sampling Task. Biological Psychiatry, 83(12), e61-e62. [pdf]
20. Sewell, D., Warren, H. A., Rosenblatt, D., Bennett, D., Lyons, M., & Bode, S. (2018). Feedback discounting in probabilistic categorization: converging evidence from EEG and cognitive modelling. Computational Brain and Behavior, 1(2), 165-183. [pdf]
21. Bode, S., Bennett, D., Sewell, D, K., Paton, B., Egan, G. F., Smith, P. L., & Murawski, C. (2018). Dissociating neural variability related to stimulus quality and response times in perceptual decision-making. Neuropsychologia, 111, 190-200. [pdf]
2017
22. Bennett, D., Oldham, S., Dawson, A., Parkes, L., Murawski, C., & Yücel, M. (2017). Systematic overestimation of reflection impulsivity in the Information Sampling Task. Biological Psychiatry, 82(4), e29-e30. [pdf]
23. Carter, O., Bennett, D., Nash, T., Arnold, S., Brown, L., Cai, R.Y., Allan, Z., Dluzniak, A., McAnally, K., Burr, D., & Sundram, S. (2017). Sensory integration deficits support a dimensional view of psychosis and are not limited to schizophrenia. Translational Psychiatry, 7, e1118. [pdf]
2016
24. Bennett, D., Bode, S., Brydevall, M., Warren, H., & Murawski, C. (2016). Intrinsic valuation of information in decision making under uncertainty. PLOS Computational Biology, 12(7), e1005020. [pdf]
25. Bennett, D., Dluzniak, A., Cropper, S., Partos, T., Sundram, S., & Carter, O. (2016). Selective impairment of global motion integration, but not global form integration, in schizophrenia and bipolar affective disorder. Schizophrenia Research: Cognition, 3, 11-14. [pdf]
2015 and earlier
26. Bennett, D. (2015). The neural mechanisms of Bayesian belief updating. The Journal of Neuroscience, 35(50), 16300-16302. (Journal Club review) [pdf]
27. Bennett, D., Murawski, C., & Bode, S. (2015). Single-trial event-related potential correlates of belief updating. eNeuro, 2(5), 1-14. [pdf]
28. Bode, S., Bennett, D., Stahl, J., & Murawski, C. (2014). Distributed patterns of event-related potentials predict subsequent ratings of abstract stimulus attributes. PLOS One, 9(10), e109070. [pdf]