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{ "pk": 29431, "title": "Dynamics vs. Development in Numerosity Estimation: A Computational ModelAccurately Predicts a Developmental Reversal", "subtitle": null, "abstract": "Perceptual judgments result from a dynamic process, but little is known about the dynamics of numerosity estimation. Arecent study proposed a computational model (D-MLLM) that combined a model of trial-to-trial changes with a modelfor the internal scaling of discrete number. Here, we tested a surprising prediction of the model – a situation in whichchildren’s estimates of numerosity would be better than those of adults. Consistent with the model simulations, taskcontexts led to a clear developmental reversal: children made more adult-like, linear estimates when to-be-estimatednumbers were descending over trials (backward), whereas adults became more like children with log estimates whennumbers were ascending (forward). In addition, adults’ estimates were subject to inter-trial differences regardless ofstimulus order. In contrast, children were not able to use the trial-to-trial dynamics unless task contexts were salient(forward or backward order), indicating the limited memory capacity for dynamic updates. Together, the model adequatelypredicts both developmental and trial-to-trial changes in number-line tasks.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [], "section": "Numerosity", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/6zd812kk", "frozenauthors": [ { "first_name": "Dan", "middle_name": "", "last_name": "Kim", "name_suffix": "", "institution": "The Ohio State University", "department": "" }, { "first_name": "John", "middle_name": "", "last_name": "Opfer", "name_suffix": "", "institution": "The Ohio State University", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2020-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/29431/galley/19291/download/" } ] }