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dc.contributor.advisorMémoli, Facundo
dc.creatorDai, Bowen
dc.creatorChowdhury, Samir
dc.date.accessioned2016-10-04T16:07:33Z
dc.date.available2016-10-04T16:07:33Z
dc.date.issued2016-09-15
dc.identifier.urihttp://hdl.handle.net/1811/78594
dc.descriptionMathematical and Physical Sciencesen_US
dc.description.abstractIn the neuroscience community, it is believed that place cells (PC) in an animal’s hippocampus play a central role in forming mental maps, which are used by the animal for spatial navigation. Place cells are sensitive to location, in the sense that each place cell becomes active when the animal enter a specific area, called the cell’s place field (PF), in an environment. We study the following question: Given time series data showing the activation record of a sufficiently large number of place cells as an animal explores an arena, can we infer some topological properties of the arena? By employing techniques from Persistent Homology (PH) to study the network of cells we are able to accurately recover the number of obstacles in an arena that the animal has explored.en_US
dc.description.sponsorshipSupported by NSF IIS grant 1422400.en_US
dc.language.isoen_USen_US
dc.relation.ispartofseries2016 Fall Undergraduate Research Student Poster Forum. 10then_US
dc.subjectHippocampalen_US
dc.subjectNetworken_US
dc.subjectPersistent Homologyen_US
dc.titleA Study of the Hippocampal Network via Persistent Homologyen_US
dc.typePresentationen_US
dc.type.genrePosteren_US
dc.description.academicmajorAcademic Major: Mathematicsen_US


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