{"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/"}]}