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{ "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/" } ] }