Testing multi-alternative decision models with non-stationary evidence
Recent research has investigated the process of integrating perceptual evidence toward a decision, converging on a number of sequential sampling choice models, such as variants of race and diffusion models and the non-linear leaky competing accumulator (LCA) model. Here we study extensions of these...
| Main Authors: | , , |
|---|---|
| Format: | Journal article |
| Language: | English |
| Published: |
Frontiers Media
2011
|
| _version_ | 1826307314712313856 |
|---|---|
| author | Tsetsos, K Usher, M McClelland, J |
| author_facet | Tsetsos, K Usher, M McClelland, J |
| author_sort | Tsetsos, K |
| collection | OXFORD |
| description | Recent research has investigated the process of integrating perceptual evidence toward a decision, converging on a number of sequential sampling choice models, such as variants of race and diffusion models and the non-linear leaky competing accumulator (LCA) model. Here we study extensions of these models to multi-alternative choice, considering how well they can account for data from a psychophysical experiment in which the evidence supporting each of the alternatives changes dynamically during the trial, in a way that creates temporal correlations. We find that participants exhibit a tendency to choose an alternative whose evidence profile is temporally anti-correlated with (or dissimilar from) that of other alternatives. This advantage of the anti-correlated alternative is well accounted for in the LCA, and provides constraints that challenge several other models of multi-alternative choice. |
| first_indexed | 2024-03-07T07:01:21Z |
| format | Journal article |
| id | oxford-uuid:62530052-3296-463d-a024-6b3e5887d18e |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T07:01:21Z |
| publishDate | 2011 |
| publisher | Frontiers Media |
| record_format | dspace |
| spelling | oxford-uuid:62530052-3296-463d-a024-6b3e5887d18e2022-03-29T17:16:52ZTesting multi-alternative decision models with non-stationary evidenceJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:62530052-3296-463d-a024-6b3e5887d18eEnglishSymplectic Elements at OxfordFrontiers Media2011Tsetsos, KUsher, MMcClelland, JRecent research has investigated the process of integrating perceptual evidence toward a decision, converging on a number of sequential sampling choice models, such as variants of race and diffusion models and the non-linear leaky competing accumulator (LCA) model. Here we study extensions of these models to multi-alternative choice, considering how well they can account for data from a psychophysical experiment in which the evidence supporting each of the alternatives changes dynamically during the trial, in a way that creates temporal correlations. We find that participants exhibit a tendency to choose an alternative whose evidence profile is temporally anti-correlated with (or dissimilar from) that of other alternatives. This advantage of the anti-correlated alternative is well accounted for in the LCA, and provides constraints that challenge several other models of multi-alternative choice. |
| spellingShingle | Tsetsos, K Usher, M McClelland, J Testing multi-alternative decision models with non-stationary evidence |
| title | Testing multi-alternative decision models with non-stationary evidence |
| title_full | Testing multi-alternative decision models with non-stationary evidence |
| title_fullStr | Testing multi-alternative decision models with non-stationary evidence |
| title_full_unstemmed | Testing multi-alternative decision models with non-stationary evidence |
| title_short | Testing multi-alternative decision models with non-stationary evidence |
| title_sort | testing multi alternative decision models with non stationary evidence |
| work_keys_str_mv | AT tsetsosk testingmultialternativedecisionmodelswithnonstationaryevidence AT usherm testingmultialternativedecisionmodelswithnonstationaryevidence AT mcclellandj testingmultialternativedecisionmodelswithnonstationaryevidence |