Diffusion Modelling Reveals the Decision Making Processes Underlying Negative Judgement Bias in Rats : Modelling Decision Making during Negative Affect
- Submitting institution
-
University of Bristol
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 98744994
- Type
- D - Journal article
- DOI
-
10.1371/journal.pone.0152592
- Title of journal
- PLoS ONE
- Article number
- e0152592
- First page
- -
- Volume
- 11
- Issue
- 3
- ISSN
- 1932-6203
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
2
- Research group(s)
-
A - Artificial Intelligence and Autonomy
- Citation count
- 19
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is the first to apply the diffusion model to rodent data, our data was collected from rats performing a rewarded decision task with negative pharmacological manipulations. Previously behaviour of this sort was reduced to a single statistic, by using modelling we were able to determine the effect of the manipulations in a more subtle way, distinguishing "hopelessness" and "anhedonia" as two aspects of negative affective state. This has influenced studies in rat [Mendl et al, Neuroscience and Biobehavioral Reviews '20], and in humans (Alyward et al, Psychological Medicine '20] where these aspects are also thought to be combined.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -