{"type":"ScholarlyArticle","title":"Artificial Neural Network for Sequence Learning","authors":[{"name":"Sorin Moga","slug":"sorin-moga","given":"Sorin","family":"Moga","affiliation":""},{"name":"Philippe Gaussier","slug":"philippe-gaussier","given":"Philippe","family":"Gaussier","affiliation":""}],"abstract":"This poster shows an artificial neural network capable of learning a temporal sequence. Directly inspired from a hippocampus model [Banquet et al., 1998], this architecture allows an autonomous robot to learn how to imitate a sequence of movements with the correct timing .","doi":null,"url":"https://ijcai.org/proceedings/2003/253","pdf":"https://ijcai.org/proceedings/2003/0253.pdf","markdown":"https://ijcai.org/proceedings/2003/253.md","bibtex":"https://ijcai.org/proceedings/2003/bibtex/253","volume":{"slug":"2003","title":"Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2003","url":"https://ijcai.org/proceedings/2003/","year":2003,"location":"Acapulco, Mexico","dates":"","editors":"Georg Gottlob","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":253,"pages":{"first":1507,"last":-1},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}