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{ "pk": 27160, "title": "TRACX2: a RAAM-like autoencoder modeling\ngraded chunking in infant visual-sequence learning", "subtitle": null, "abstract": "Even newborn infants are able to extract structure from a\nstream of sensory inputs and yet, how this is achieved remains\nlargely a mystery. We present a connectionist autoencoder\nmodel, TRACX2, that learns to extract sequence structure by\ngradually constructing chunks, storing these chunks in a\ndistributed manner across its synaptic weights, and\nrecognizing these chunks when they re-occur in the input\nstream. Chunks are graded rather than all-or-none in nature.\nAs chunks are learned their component parts become more\nand more tightly bound together. TRACX2 successfully\nmodels the data from four experiments from the infant visual\nstatistical-learning literature, including tasks involving low-\nsalience embedded chunk items, part-sequences, and illusory\nitems. The model also captures performance differences\nacross ages through the tuning of a single learning rate\nparameter. These results suggest that infant statistical learning\nis underpinned by the same domain general learning\nmechanism that operates in auditory statistical learning and,\npotentially, in adult artificial grammar learning.1", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [], "section": "Posters: Papers", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/776340ph", "frozenauthors": [ { "first_name": "Robert", "middle_name": "M.", "last_name": "French", "name_suffix": "", "institution": "University Bourgogne Franche-Comté", "department": "" }, { "first_name": "Denis", "middle_name": "", "last_name": "Mareschal", "name_suffix": "", "institution": "Birkbeck University of London", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2017-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/27160/galley/16796/download/" } ] }