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{ "pk": 27176, "title": "A Spiking Independent Accumulator Model for Winner-Take-All Computation", "subtitle": null, "abstract": "Winner-take-all (WTA) mechanisms are an important compo-nent of many cognitive models. For example, they are oftenused to decide between multiple choices or to selectively di-rect attention. Here we compare two biologically plausible,spiking neural WTA mechanisms. We first provide a novelspiking implementation of the well-known leaky, competingaccumulator (LCA) model, by mapping the dynamics onto apopulation-level representation. We then propose a two-layerspiking independent accumulator (IA) model, and compare itsperformance against the LCA network on a variety of WTAbenchmarks. Our findings suggest that while the LCA net-work can rapidly adapt to new winners, the IA network is bet-ter suited for stable decision making in the presence of noise.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "Neural Engineering Framework; Nengo; winner-take-all; decision making; mutual inhibition; neural competi-tion; dynamical systems" } ], "section": "Posters: Papers", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/01z51564", "frozenauthors": [ { "first_name": "Jan", "middle_name": "", "last_name": "Gosmann", "name_suffix": "", "institution": "University of Waterloo", "department": "" }, { "first_name": "Aaron", "middle_name": "R.", "last_name": "Voelker", "name_suffix": "", "institution": "University of Waterloo", "department": "" }, { "first_name": "Chris", "middle_name": "", "last_name": "Eliasmith", "name_suffix": "", "institution": "University of Waterloo", "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/27176/galley/16812/download/" } ] }