Technical Program

Paper Detail

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
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.