{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/2120026414840100352.json","@type":"OtherWorks","productIdentifier":[{"identifier":{"@type":"HDL","@value":"http://hdl.handle.net/10445/4719"}},{"identifier":{"@type":"URI","@value":"https://fun.repo.nii.ac.jp/records/3804"}}],"resourceType":"会議発表資料(conference paper)","dc:title":[{"@value":"Integration of Visual Scenes and Motion Signals by Entorhinal Grid Cells During Spatial Imagery"}],"dc:language":"en","description":[{"type":"Abstract","notation":[{"@value":"The entorhinal cortex is an important region for a transformation of the egocentric scene into the allocentric scene, despite the lack of discussion of its neural mechanism in the literature. In this study, object arrangement from a novel viewpoint is estimated from a compu- tational model based on a recent ?nding of entorhinal ”grid cells” that represent a metric space of the environment in multiple scales. In the model, the grid cells are hypothesized to integrate imagery motion signals and visual scenes where the retinal image is mapped to a top view scene. Results of computer experiments demonstrated that the representation of grid cells allows an estimation of object arrangement from a novel viewpoint by using imagery motion signals. It suggests that grid cells produce the integrated metric space of visual scenes and motion signals during the spatial imagery."}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1420564276166002560","@type":"Researcher","personIdentifier":[{"@type":"KAKEN_RESEARCHERS","@value":"70312668"},{"@type":"NRID","@value":"1000070312668"},{"@type":"NRID","@value":"9000004900260"},{"@type":"NRID","@value":"9000345434680"},{"@type":"NRID","@value":"9000399232265"},{"@type":"NRID","@value":"9000296682879"},{"@type":"NRID","@value":"9000324988654"},{"@type":"NRID","@value":"9000283842758"},{"@type":"NRID","@value":"9000001513264"},{"@type":"NRID","@value":"9000017685617"},{"@type":"NRID","@value":"9000282394406"},{"@type":"NRID","@value":"9000375913664"},{"@type":"NRID","@value":"9000316197526"},{"@type":"RESEARCHMAP","@value":"https://researchmap.jp/satonao"}],"foaf:name":[{"@language":"ja","@value":"佐藤, 直行"}]}],"publication":{"prism:publicationName":[{"@value":"17th International Conference on Neural Information Processing"}],"prism:publicationDate":"2010"},"dcterms:accessRights":"http://purl.org/coar/access_right/c_14cb","url":[{"@id":"https://fun.repo.nii.ac.jp/records/3804"}],"dataSourceIdentifier":[{"@type":"IRDB","@value":"oai:irdb.nii.ac.jp:01406:0005256593"}]}