{"pk":29644,"title":"Semantic chunks save working memory resources:\ncomputational and behavioral evidence","subtitle":null,"abstract":"It is now well-established that long-term memory (LTM)\nknowledge, such as semantic knowledge, supports the\ntemporary maintenance of verbal information in working\nmemory (WM). This is for instance characterized by the recall\nadvantage observed for semantically related (e.g. leaf - tree -\nbranch) over unrelated (e.g. mouse - wall - sky) lists of items\nin immediate serial recall tasks. However, the exact\nmechanisms underlying this semantic contribution remain\nunknown. In this study, we demonstrate through a convergent\napproach involving computational and behavioral methods that\nsemantic knowledge can be efficiently used to save attentional\nWM resources, thereby enhancing the maintenance of\nsubsequent to-be-remembered items. These results have\ncritical theoretical implications, and support models\nconsidering that WM relies on temporary activation within the\nLTM system.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"Working Memory; Computational Modeling;\nTBRS* model; Semantic Knowledge"}],"section":"Poster Session 1","is_remote":true,"remote_url":"https://escholarship.org/uc/item/20b4p7qw","frozenauthors":[{"first_name":"Benjamin","middle_name":"","last_name":"Kowialiewski","name_suffix":"","institution":"Université Grenoble Alpes","department":""},{"first_name":"Benoît","middle_name":"","last_name":"Lemaire","name_suffix":"","institution":"Université Grenoble Alpes","department":""},{"first_name":"Sophie","middle_name":"","last_name":"Portrat","name_suffix":"","institution":"Université Grenoble Alpes","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2020-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/29644/galley/19502/download/"}]}