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List of publications

Preprints and manuscripts under review

1. Zorowitz, S., Niv, Y., & Bennett, D. (under review). Inattentive responding can induce spurious associations between task behavior and symptom measures. Preprint hosted at PsyArXiv.

[pdf] [GitHub repo]

2. Goh, A. X.-A., Bennett, D., Bode, S., & Chong, T. T.-J. (under review). Neurocomputational mechanisms underlying the subjective value of information. Manuscript submitted for review.

Peer-reviewed journal papers and book chapters

2021 and in press

3. Bennett, D., Niv, Y. & Langdon, A. J. (in press). Value-free reinforcement learning: Policy optimization as a minimal model of operant behavior. Manuscript accepted for publication in Current Opinion in Behavioral Sciences.

[pdf]

4. Bennett, D., Davidson, G., & Niv, Y. (in press). A model of mood as integrated advantage. Manuscript accepted for publication in Psychological Review.

[pdf] [OSF project]

5. Smillie, L. D., Bennett, D., Tan, N. P., Sutcliffe, K., Fayn, K., Bode, S., & Wacker, J. (in press). Does openness/intellect predict sensitivity to the reward value of information? Manuscript accepted for publication in Cognitive, Affective, and Behavioral Neuroscience.

6. 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.

7. Bennett, D., Sutcliffe, K., Tan, N. P., Smillie, L. D., & Bode, S. (2020). 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

8. 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

9.Bennett, D., Silverstein, S., & Niv, Y. (2019). The two cultures of computational psychiatry. JAMA Psychiatry, 76(6), 563-564.

[pdf]

10. 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]

11. 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

12. 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]

13. Bennett, D, Yücel, M., & Murawski, C. (2018). Errors of statistical inference in the Information Sampling Task. Biological Psychiatry, 83(12), e61-e62.

[pdf]

14. 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]

15. 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

16. 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]

17. 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

18. 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]

19. 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

20. Bennett, D. (2015). The neural mechanisms of Bayesian belief updating. The Journal of Neuroscience, 35(50), 16300-16302 .

[pdf]

21. Bennett, D., Murawski, C., & Bode, S. (2015). Single-trial event-related potential correlates of belief updating. eNeuro, 2(5), 1-14.

[pdf]

22. 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]

Extended abstracts in peer-reviewed conference proceedings

23. Bennett, D., Davidson, G., & Niv, Y. (2019). Momentum and mood in policy-gradient reinforcement learning. Proceedings of the 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making.

[pdf]

24. Bennett, D., Feuerriegel, D., Alday, P. M., & Bode, S. (2017). The Decision Decoding ToolBOX (DDTBOX): A multivariate pattern analysis toolbox for event-related potentials. Proceedings of the Conference on Cognitive Computational Neuroscience 2017.

[pdf]


Page last modified: Apr 26 2020.