Research output per year
Research output per year
Project Details
Project Description
This project seeks to develop a biologically principled framework for understanding mood instability in psychiatric illness. We will use a combination of computational cognitive modelling and neuroimaging to expand upon a computational theory of mood instability recently developed within the Niv laboratory at Princeton University.
| Short title | Towards a neurocomputational model of mood instability in psychiatric illness |
|---|---|
| Status | Finished |
| Effective start/end date | 1/01/19 → 31/12/22 |
Funding
- National Health and Medical Research Council (NHMRC) (Australia): A$417,192.00
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Inattentive responding can induce spurious associations between task behaviour and symptom measures
Zorowitz, S., Solis, J., Niv, Y. & Bennett, D., Oct 2023, In: Nature Human Behaviour. 7, 10, p. 1667–1681 15 p.Research output: Contribution to journal › Article › Research › peer-review
15 Citations (Scopus) -
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
26 Citations (Scopus) -
The effects of induced positive and negative affect on Pavlovian-instrumental interactions
Weber, I., Zorowitz, S., Niv, Y. & Bennett, D., 2022, In: Cognition and Emotion. 36, 7, p. 1343-1360 18 p.Research output: Contribution to journal › Article › Research › peer-review
4 Citations (Scopus)