Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-9522
For citation please use:
Main Title: A local measure of symmetry and orientation for individual spikes of grid cells
Author(s): Weber, Simon Nikolaus
Sprekeler, Henning
Type: Article
Is Part Of: 10.14279/depositonce-8964
Language Code: en
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.
URI: https://depositonce.tu-berlin.de/handle/11303/10596
http://dx.doi.org/10.14279/depositonce-9522
Issue Date: 7-Feb-2019
Date Available: 15-Jan-2020
DDC Class: 570 Biowissenschaften; Biologie
004 Datenverarbeitung; Informatik
610 Medizin und Gesundheit
Subject(s): neuroscience
computational neuroscience
Sponsor/Funder: BMBF, 01GQ1201, Lernen und Gedächtnis in balancierten Systemen
License: https://creativecommons.org/licenses/by/4.0/
Journal Title: PLOS Computational Biology
Publisher: Public Library of Science
Publisher Place: San Francisco, Calif
Volume: 15
Issue: 2
Article Number: e1006804
Publisher DOI: 10.1371/journal.pcbi.1006804
EISSN: 1553-7358
ISSN: 1553-734X
Appears in Collections:FG Modellierung kognitiver Prozesse » Publications

Files in This Item:
Weber2019_article_local.pdf
Format: Adobe PDF | Size: 4.84 MB
DownloadShow Preview

Item Export Bar

This item is licensed under a Creative Commons License Creative Commons