| Paper: | PS-1B.1 |
| 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: |
Decomposing spatial conflict BOLD activation using a drift-diffusion model framework |
| Manuscript: |
Click here to view manuscript |
| DOI: |
https://doi.org/10.32470/CCN.2018.1054-0 |
| Authors: |
James McIntosh, Paul Sajda, Columbia University, United States |
| Abstract: |
Drift-diffusion based models (DDM) have been recently adapted for analysis of behavior in spatial conflict tasks. However such DDM extensions are typically difficult to fit and compare because analytical solutions do not exist. We use a numerical method to estimate the likelihood function for fitting a Simon effect DDM to individual subject data, and use these fits to interpret blood-oxygen-level dependent (BOLD) responses. We find regions of BOLD activation that would be difficult to observe with methods that are not model based. |
