Möbus, Claus and Lenk, Jan Ch. and Özyurt, Jale and Thiel, Christiane M. and Claasen, Arno (2011) Checking the ACT-R/Brain Mapping Hypothesis with a complex task: Using fMRI and Bayesian identification in a multi-dimensional strategy space. Cognitive Systems Research, 12 (3-4). pp. 321-335. ISSN 1389-0417

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Official URL: http://dx.doi.org/10.1016/j.cogsys.2011.01.001

Abstract

John R. Anderson proposed a correspondence between ACT-R modules and brain regions. In his studies he compared ACT-R-predicted blood-oxygen-level dependent (BOLD) signal curves with BOLD curves obtained from functional Magnetic Resonance Imaging (fMRI) scans. Most of his studies were conducted solving simple algebra tasks. Using different and more complex problems dealing with the interpretation of chemical formulae, we studied the Brain Mapping Hypothesis’ robustness towards a different domain, multidimensional strategy spaces, and modeling errors. The ACT-R architecture tolerates various model implementations of the same task with similar behavior but different BOLD predictions. We repeated the analysis for six different models, each implementing a different strategy for the problem with the result that correlations vary between model-generated and empirical BOLD curves according to the selected problem-solving strategy. As an overall result we could not disconfirm Anderson’s Brain Mapping Hypothesis, but we could not rule out that ACT-R modules are distributed across more brain regions than Anderson suggested.

Item Type: Article
Uncontrolled Keywords: ACT-R architecture,BOLD curves,fMRI scans, Brain Mapping Hypothesis
Subjects: Generalities, computers, information > Computer science, internet
Philosophy and psychology > Psychology
Divisions: School of Computing Science, Business Administration, Economics and Law > Department of Computing Science
Date Deposited: 21 Feb 2014 11:39
Last Modified: 21 Feb 2014 11:39
URI: https://oops.uni-oldenburg.de/id/eprint/1807
URN: urn:nbn:de:gbv:715-oops-18886
DOI: 10.1016/j.cogsys.2011.01.001
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