| Paper: | PS-1B.26 |
| Session: | Poster Session 1B |
| Location: | Symphony/Overture |
| Session Time: | Thursday, September 6, 18:45 - 20:45 |
| Presentation Time: | Thursday, September 6, 18:45 - 20:45 |
| Presentation: |
Poster
|
| Publication: |
2018 Conference on Cognitive Computational Neuroscience, 5-8 September 2018, Philadelphia, Pennsylvania |
| Paper Title: |
An Algorithm for Clustering Decision-Making Phenotypes from Behavioural Data |
| Manuscript: |
Click here to view manuscript |
| DOI: |
https://doi.org/10.32470/CCN.2018.1221-0 |
| Authors: |
Abraham Nunes, Alexander Rudiuk, Thomas Trappenberg, Dalhousie University, Canada |
| Abstract: |
Computational modeling of behavioural data is increasingly used for psychiatric applications. To this end, it is of interest to devise approaches for clustering behavioural phenotypes, where those phenotypes are reinforcement learning models fit to individual subjects. The present study highlights that clustering in the space of individual parameter estimates may not reveal the presence of decision-making phenotype groups. We also introduce a similarity measure that improves cluster detection using synthetic data generated on a task that measures goal-directed and habitual control. Our results motivate further investigation regarding unsupervised cluster detection in computational cognitive modeling of human behavioural data. |
