Membrane potential dynamics of grid cells
Cristina Domnisoru,
Amina A. Kinkhabwala and
David W. Tank ()
Additional contact information
Cristina Domnisoru: Princeton Neuroscience Institute, Princeton University
Amina A. Kinkhabwala: Princeton Neuroscience Institute, Princeton University
David W. Tank: Princeton Neuroscience Institute, Princeton University
Nature, 2013, vol. 495, issue 7440, 199-204
Abstract:
Abstract During navigation, grid cells increase their spike rates in firing fields arranged on a markedly regular triangular lattice, whereas their spike timing is often modulated by theta oscillations. Oscillatory interference models of grid cells predict theta amplitude modulations of membrane potential during firing field traversals, whereas competing attractor network models predict slow depolarizing ramps. Here, using in vivo whole-cell recordings, we tested these models by directly measuring grid cell intracellular potentials in mice running along linear tracks in virtual reality. Grid cells had large and reproducible ramps of membrane potential depolarization that were the characteristic signature tightly correlated with firing fields. Grid cells also demonstrated intracellular theta oscillations that influenced their spike timing. However, the properties of theta amplitude modulations were not consistent with the view that they determine firing field locations. Our results support cellular and network mechanisms in which grid fields are produced by slow ramps, as in attractor models, whereas theta oscillations control spike timing.
Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
https://www.nature.com/articles/nature11973 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:495:y:2013:i:7440:d:10.1038_nature11973
Ordering information: This journal article can be ordered from
https://www.nature.com/
DOI: 10.1038/nature11973
Access Statistics for this article
Nature is currently edited by Magdalena Skipper
More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().