A local measure of symmetry and orientation for individual spikes of grid cells
| dc.contributor.author | Weber, Simon Nikolaus | |
| dc.contributor.author | Sprekeler, Henning | |
| dc.date.accessioned | 2020-01-15T13:13:39Z | |
| dc.date.available | 2020-01-15T13:13:39Z | |
| dc.date.issued | 2019-02-07 | |
| dc.description.abstract | Grid cells have attracted broad attention because of their highly symmetric hexagonal firing patterns. Recently, research has shifted its focus from the global symmetry of grid cell activity to local distortions both in space and time, such as drifts in orientation, local defects of the hexagonal symmetry, and the decay and reappearance of grid patterns after changes in lighting condition. Here, we introduce a method that allows to visualize and quantify such local distortions, by assigning both a local grid score and a local orientation to each individual spike of a neuronal recording. The score is inspired by a standard measure from crystallography, which has been introduced to quantify local order in crystals. By averaging over spikes recorded within arbitrary regions or time periods, we can quantify local variations in symmetry and orientation of firing patterns in both space and time. | en |
| dc.description.sponsorship | BMBF, 01GQ1201, Lernen und Gedächtnis in balancierten Systemen | en |
| dc.identifier.eissn | 1553-7358 | |
| dc.identifier.issn | 1553-734X | |
| dc.identifier.uri | https://depositonce.tu-berlin.de/handle/11303/10596 | |
| dc.identifier.uri | http://dx.doi.org/10.14279/depositonce-9522 | |
| dc.language.iso | en | en |
| dc.relation.ispartof | 10.14279/depositonce-8964 | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en |
| dc.subject.ddc | 570 Biowissenschaften; Biologie | de |
| dc.subject.ddc | 004 Datenverarbeitung; Informatik | de |
| dc.subject.ddc | 610 Medizin und Gesundheit | de |
| dc.subject.other | neuroscience | en |
| dc.subject.other | computational neuroscience | en |
| dc.title | A local measure of symmetry and orientation for individual spikes of grid cells | en |
| dc.type | Article | en |
| dc.type.version | publishedVersion | en |
| dcterms.bibliographicCitation.articlenumber | e1006804 | en |
| dcterms.bibliographicCitation.doi | 10.1371/journal.pcbi.1006804 | en |
| dcterms.bibliographicCitation.issue | 2 | en |
| dcterms.bibliographicCitation.journaltitle | PLOS Computational Biology | en |
| dcterms.bibliographicCitation.originalpublishername | Public Library of Science | en |
| dcterms.bibliographicCitation.originalpublisherplace | San Francisco, Calif | en |
| dcterms.bibliographicCitation.volume | 15 | en |
| tub.accessrights.dnb | free | en |
| tub.affiliation | Fak. 4 Elektrotechnik und Informatik::Inst. Softwaretechnik und Theoretische Informatik::FG Modellierung kognitiver Prozesse | de |
| tub.affiliation.faculty | Fak. 4 Elektrotechnik und Informatik | de |
| tub.affiliation.group | FG Modellierung kognitiver Prozesse | de |
| tub.affiliation.institute | Inst. Softwaretechnik und Theoretische Informatik | de |
| tub.publisher.universityorinstitution | Technische Universität Berlin | en |