The drift diffusion model can account for value-based choice response times under high and low time pressure
Abstract
An important open problem is how values are compared to make simple choices. A natural hypothesis is that the brain carries out the computations associated with the value comparisons in a manner consistent with the Drift Diffusion Model (DDM), since this model has been able to account for a large amount of data in other domains. We investigated the ability of four different versions of the DDM to explain the data in a real binary food choice task under conditions of high and low time pressure. We found that a seven-parameter version of the DDM can account for the choice and reaction time data with high-accuracy, in both the high and low time pressure conditions. The changes associated with the introduction of time pressure could be traced to changes in two key model parameters: the barrier height and the noise in the slope of the drift process.
Additional Information
We gratefully thank the NGA, the NSF and the Mathers and Moore Foundations for funding this research. We also thank Roger Ratcliff for giving us invaluable comments during the review process.Attached Files
Published - milosavljevic2010.pdf
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Additional details
- Eprint ID
- 40690
- Resolver ID
- CaltechAUTHORS:20130816-103405233
- NGA
- Mathers Foundation
- Moore Foundation
- Created
-
2012-02-11Created from EPrint's datestamp field
- Updated
-
2020-03-03Created from EPrint's last_modified field
- Caltech groups
- Koch Laboratory (KLAB)