Reference number : GC-2017-Q1-02999, amendment number : , agreement type : G, recipient legal name : Oriet, Chris (University of Regina), recipient country : CA, recipient province : nan, recipient city : Saskatchewan, recipient postal code : nan, program name english : Discovery Grants Program - Individual, program name french : Programme de subventions à la découverte - individuelles, program purpose english : Intuition would suggest that the brain should represent sets of items in the same way it represents individual items. Contrary to this intuition, researchers have discovered that sets of information are represented according to their statistical properties, such as their average size or variability in colour. Over the past 15 years, researchers have established important roles for such statistical summary representations (SSRs) in perception and attention. The purpose of this program of research is to determine whether there might also be a role for SSRs in visual learning, and, if so, to understand the conditions that facilitate such learning. To address these questions, I will carry out experiments designed to explore the contribution of SSRs to learning in three everyday tasks: categorization, search, and learning to recognize faces. The findings have the potential to advance models of these processes, which currently do not incorporate a role for SSRs. Of equal importance, they have the potential to inform advances in medical decision making, artificial navigation systems, and face recognition software., program purpose french : Intuition would suggest that the brain should represent sets of items in the same way it represents individual items. Contrary to this intuition, researchers have discovered that sets of information are represented according to their statistical properties, such as their average size or variability in colour. Over the past 15 years, researchers have established important roles for such statistical summary representations (SSRs) in perception and attention. The purpose of this program of research is to determine whether there might also be a role for SSRs in visual learning, and, if so, to understand the conditions that facilitate such learning. To address these questions, I will carry out experiments designed to explore the contribution of SSRs to learning in three everyday tasks: categorization, search, and learning to recognize faces. The findings have the potential to advance models of these processes, which currently do not incorporate a role for SSRs. Of equal importance, they have the potential to inform advances in medical decision making, artificial navigation systems, and face recognition software., agreement title english : The role of statistical summary representations in visual learning, agreement title french : The role of statistical summary representations in visual learning, agreement number : RGPIN, agreement value : 125000.0, agreement start date : 2017-05-10, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year. (2017-2018 to 2022-2023), additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier. (2017-2018 à 2022-2023), owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada