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{ "pk": 31329, "title": "Adaptation of Cue-Specific Learning Rates in Network Models of Human Category Learning", "subtitle": null, "abstract": "Recent engineering considerations have prompted an improvement to the least mean squares (LMS) learning rule for training one-layer adaptive networks; incorporating a dynamically modifiable learning rate for each associative weight accellerates overall learning and provides a mechanism for adjusting the salience of individual cues (Sutton, 1992a,b). Prior research has established that the standard L M S rule can characterize aspects of animal learning (Rescorla & Wagner, 1972) and human category learning (Gluck & Bower, 1988a,b). W e illustrate here how this enhanced L M S rule is analogous to adding a cue-salience or attentional component to the psychological model, giving the network model a means for discriminating between relevant and irrelevant cues. W e then demonstrate the effectiveness of this enhanced L M S rule for modeling human performance in two non-stationary learning tasks for which the standard L M S network model fails to adequately account for the data (Hurwitz, 1990; Gluck, Glauthier, & Sutton, in preparation).", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [], "section": "Talks", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/0mc4c8j8", "frozenauthors": [ { "first_name": "Mark", "middle_name": "A.", "last_name": "Gluck", "name_suffix": "", "institution": "Rutgers University", "department": "" }, { "first_name": "Paul", "middle_name": "T.", "last_name": "Glauthier", "name_suffix": "", "institution": "Rutgers University", "department": "" }, { "first_name": "Richard", "middle_name": "S.", "last_name": "Sutton", "name_suffix": "", "institution": "GTE Laboratories Incorporated", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "1992-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/31329/galley/22398/download/" } ] }