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dc.contributor.authorVitevitch, Michael S.
dc.contributor.authorMullin, Gavin J. D.
dc.date.accessioned2022-02-09T14:46:24Z
dc.date.available2022-02-09T14:46:24Z
dc.date.issued2021-12-10
dc.identifier.citationVitevitch, M.S.; Mullin, G.J.D. What Do Cognitive Networks Do? Simulations of Spoken Word Recognition Using the Cognitive Network Science Approach. Brain Sci. 2021, 11, 1628. https://doi.org/10.3390/brainsci11121628en_US
dc.identifier.urihttp://hdl.handle.net/1808/32508
dc.description.abstractCognitive network science is an emerging approach that uses the mathematical tools of network science to map the relationships among representations stored in memory to examine how that structure might influence processing. In the present study, we used computer simulations to compare the ability of a well-known model of spoken word recognition, TRACE, to the ability of a cognitive network model with a spreading activation-like process to account for the findings from several previously published behavioral studies of language processing. In all four simulations, the TRACE model failed to retrieve a sufficient number of words to assess if it could replicate the behavioral findings. The cognitive network model successfully replicated the behavioral findings in Simulations 1 and 2. However, in Simulation 3a, the cognitive network did not replicate the behavioral findings, perhaps because an additional mechanism was not implemented in the model. However, in Simulation 3b, when the decay parameter in spreadr was manipulated to model this mechanism the cognitive network model successfully replicated the behavioral findings. The results suggest that models of cognition need to take into account the multi-scale structure that exists among representations in memory, and how that structure can influence processing.en_US
dc.publisherMDPIen_US
dc.rights© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.subjectPhonologyen_US
dc.subjectNetwork scienceen_US
dc.subjectOne-phoneme metricen_US
dc.subjectPhonological neighborsen_US
dc.subjectSpoken word recognitionen_US
dc.subjectComputer simulationen_US
dc.subjectTRACEen_US
dc.subjectCognitive networken_US
dc.titleWhat Do Cognitive Networks Do? Simulations of Spoken Word Recognition Using the Cognitive Network Science Approachen_US
dc.typeArticleen_US
kusw.kuauthorVitevitch, Michael S.
kusw.kuauthorMullin, Gavin J. D.
kusw.kudepartmentPsychologyen_US
dc.identifier.doi10.3390/brainsci11121628en_US
dc.identifier.orcidhttps://orcid.org/ 0000-0002-1209-0838en_US
dc.identifier.orcidhttps://orcid.org/ 0000-0002-4911-0150en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.identifier.pmidPMC8699506en_US
dc.rights.accessrightsopenAccessen_US


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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Except where otherwise noted, this item's license is described as: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.