{"pk":28518,"title":"Comparing Alternative Computational Models of the Stroop TaskUsing Effective Connectivity Analysis of fMRI Data","subtitle":null,"abstract":"Methodological advances have made it possible to generatefMRI predictions for cognitive architectures, such as ACT-R, thus expanding the range of model predictions and mak-ing it possible to distinguish between alternative models thatproduce otherwise identical behavioral patterns. However, fortasks associated with relatively brief response times, fMRI pre-dictions are often not sufficient to compare alternative models.In this paper, we outline a method based on effective connec-tivity, which significantly augments the amount of informationthat can be extracted from fMRI data to distinguish betweenmodels. We show the application of this method in the caseof two competing ACT-R models of the Stroop task. Althoughthe models make, predictably, identical behavioral and BOLDtime-course predictions, patterns of functional connectivity fa-vor one model over the other. Finally, we show that the samedata suggests directions in which both models should be re-vised.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"ACT-R"},{"word":"Dynamic Causal Modeling"},{"word":"CognitiveScience"}],"section":"Papers with Oral Presentations","is_remote":true,"remote_url":"https://escholarship.org/uc/item/8sk6404j","frozenauthors":[{"first_name":"Micah","middle_name":"","last_name":"Ketola","name_suffix":"","institution":"University of Washington","department":""},{"first_name":"Linxing","middle_name":"Preston","last_name":"Jiang","name_suffix":"","institution":"University of Washington","department":""},{"first_name":"Andrea","middle_name":"","last_name":"Stocco","name_suffix":"","institution":"University of Washington","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2019-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/28518/galley/18389/download/"}]}