Projects per year
Personal profile
Biography
Daniel studies mood, learning, and decision making. He uses computational methods (e.g., reinforcement learning models of behaviour, multivariate pattern analysis of neural data) to understand how these phenomena interact. He is particularly interested in investigating the ways that interactions between mood, learning, and decision making might go awry in psychiatric conditions like major depression and bipolar disorder.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Psychology, PhD, University of Melbourne
Award Date: 5 Apr 2017
Research area keywords
- mood
- mood disorders
- Affective science
- learning
- decision making
- Computational Modelling
Network
Projects
- 1 Finished
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Towards a neurocomputational model of mood instability in psychiatric illness
Bennett, D., Sundram, S. & Niv, Y.
National Health and Medical Research Council (NHMRC) (Australia)
1/01/19 → 31/12/22
Project: Research
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A model of mood as integrated advantage
Bennett, D., Davidson, G. & Niv, Y., Apr 2022, In: Psychological Review. 129, 3, p. 513-541 29 p.Research output: Contribution to journal › Article › Research › peer-review
11 Citations (Scopus) -
No evidence for short-timescale temporal declines in expectations within a controlled cognitive task
Bennett, D., 2022, p. 2044-2051. 8 p.Research output: Contribution to conference › Paper › peer-review
Open Access -
Anxious and obsessive-compulsive traits are independently associated with valuation of noninstrumental information.
Bennett, D., Sutcliffe, K., Tan, N. P. J., Smillie, L. D. & Bode, S., 2021, In: Journal of Experimental Psychology: General. 150, 4, p. 739-755 17 p.Research output: Contribution to journal › Article › Research › peer-review
14 Citations (Scopus) -
A recurring reproduction error in the administration of the Generalized Anxiety Disorder scale
Zorowitz, S., Bennett, D., Choe, G. & Niv, Y., Mar 2021, In: The Lancet Psychiatry. 8, 3, p. 180-181 2 p.Research output: Contribution to journal › Letter › Other › peer-review
Open Access -
Does openness/intellect predict sensitivity to the reward value of information?
Smillie, L. D., Bennett, D., Tan, N. P., Sutcliffe, K., Fayn, K., Bode, S. & Wacker, J., 2021, In: Cognitive Affective & Behavioral Neuroscience. 21, 5, p. 993-1009 17 p.Research output: Contribution to journal › Article › Research › peer-review
2 Citations (Scopus)