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{ "pk": 27834, "title": "Feedback in the Time-Invariant String Kernel model of spoken word recognition", "subtitle": null, "abstract": "The Time-Invariant String Kernel (TISK) model of spokenword recognition (Hanngan et al., 2013) is an interactiveactivation model like TRACE (McClelland & Elman, 1986).However, it uses orders of magnitude fewer nodes andconnections because it replaces TRACE's time-specificduplicates of phoneme and word nodes with time-invariantnodes based on a string kernel representation (essentially aphoneme-by-phoneme matrix, where a word is encoded as byall ordered open diphones it contains; e.g., cat has /kæ/, /æt/,and /kt/). Hannagan et al. (2013) showed that TISK behavessimilarly to TRACE in the time course of phonologicalcompetition and even word-specific recognition times.However, the original implementation did not includefeedback from words to diphone nodes, precluding simulationof top-down effects. Here, we demonstrate that TISK can beeasily adapted to lexical feedback, affording simulation oftop-down effects as well as allowing the model todemonstrate graceful degradation given noisy inputs.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "computational models" }, { "word": "Neural Networks" }, { "word": "Spoken word recognition" }, { "word": "interaction" }, { "word": "Feedback" } ], "section": "Publication-based-Talks", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/7fr0x16z", "frozenauthors": [ { "first_name": "James", "middle_name": "S", "last_name": "Magnuson", "name_suffix": "", "institution": "U of Conneticut", "department": "" }, { "first_name": "Heejo", "middle_name": "", "last_name": "You", "name_suffix": "", "institution": "U of Conneticut", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2018-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/27834/galley/17473/download/" } ] }