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{ "pk": 28467, "title": "Generating normative predictions with a variable-length rate code", "subtitle": null, "abstract": "Cognitive science is an archipelago of concepts and models,with cross-pollination between topics of interest often prohib-ited by incompatible approaches. Despite this, behavioral per-formance universally depends on information transmission be-tween brain regions and is limited by physical and biologicalconstraints. These constraints can be formalized as informa-tion theoretic constraints on transmission, which provide nor-mative predictions across a surprising range of cognitive do-mains. To illustrate this, we describe a simple variable-lengthrate coding model built with Poisson processes, Bayesian in-ference, and an entropy-based decision threshold. This modelreplicates features of human task performance and provides aprincipled connection between a high-level normative frame-work and neural rate codes. We thereby integrate several dis-joint ideas in cognitive science by translating plausible con-straints into information theoretic terms. Such efforts to trans-late concepts, paradigms and models into common theoreti-cal languages are essential for synthesizing our rich but frag-mented understanding of cognitive systems.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "information theory; bayesian inference; rate cod-ing; response time; learning" } ], "section": "Papers with Oral Presentations", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/7v919486", "frozenauthors": [ { "first_name": "S. Thomas", "middle_name": "", "last_name": "Christie", "name_suffix": "", "institution": "University of Minnesota", "department": "" }, { "first_name": "Paul", "middle_name": "R.", "last_name": "Schrater", "name_suffix": "", "institution": "University of Minnesota", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2019-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/28467/galley/18338/download/" } ] }