Literature DB >> 26683071

Grids from bands, or bands from grids? An examination of the effects of single unit contamination on grid cell firing fields.

Z Navratilova1, K B Godfrey2, B L McNaughton3.   

Abstract

Neural recording technology is improving rapidly, allowing for the detection of spikes from hundreds of cells simultaneously. The limiting step in multielectrode electrophysiology continues to be single cell isolation. However, this step is crucial to the interpretation of data from putative single neurons. We present here, in simulation, an illustration of possibly erroneous conclusions that may be reached when poorly isolated single cell data are analyzed. Grid cells are neurons recorded in rodents, and bats, that spike in equally spaced locations in a hexagonal pattern. One theory states that grid firing patterns arise from a combination of band firing patterns. However, we show here that summing the grid firing patterns of two poorly resolved neurons can result in spurious band-like patterns. Thus, evidence of neurons spiking in band patterns must undergo extreme scrutiny before it is accepted. Toward this aim, we discuss single cell isolation methods and metrics.
Copyright © 2016 the American Physiological Society.

Keywords:  grid cells; medial entorhinal cortex; spike sorting

Mesh:

Year:  2015        PMID: 26683071     DOI: 10.1152/jn.00699.2015

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  9 in total

1.  Learning place cells, grid cells and invariances with excitatory and inhibitory plasticity.

Authors:  Simon Nikolaus Weber; Henning Sprekeler
Journal:  Elife       Date:  2018-02-21       Impact factor: 8.140

2.  Context-dependent spatially periodic activity in the human entorhinal cortex.

Authors:  Zoltan Nadasdy; T Peter Nguyen; Ágoston Török; Jason Y Shen; Deborah E Briggs; Pradeep N Modur; Robert J Buchanan
Journal:  Proc Natl Acad Sci U S A       Date:  2017-04-10       Impact factor: 11.205

Review 3.  From End to End: Gaining, Sorting, and Employing High-Density Neural Single Unit Recordings.

Authors:  Réka Barbara Bod; János Rokai; Domokos Meszéna; Richárd Fiáth; István Ulbert; Gergely Márton
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4.  Cortical processing of flexible and context-dependent sensorimotor sequences.

Authors:  Duo Xu; Mingyuan Dong; Yuxi Chen; Angel M Delgado; Natasha C Hughes; Linghua Zhang; Daniel H O'Connor
Journal:  Nature       Date:  2022-03-09       Impact factor: 69.504

5.  Theta sequences of grid cell populations can provide a movement-direction signal.

Authors:  Ipshita Zutshi; Jill K Leutgeb; Stefan Leutgeb
Journal:  Curr Opin Behav Sci       Date:  2017-09-01

6.  The Art of Grid Fields: Geometry of Neuronal Time.

Authors:  Andrey L Shilnikov; Andrew Porter Maurer
Journal:  Front Neural Circuits       Date:  2016-03-08       Impact factor: 3.492

7.  Functional properties of stellate cells in medial entorhinal cortex layer II.

Authors:  David C Rowland; Horst A Obenhaus; Emilie R Skytøen; Qiangwei Zhang; Cliff G Kentros; Edvard I Moser; May-Britt Moser
Journal:  Elife       Date:  2018-09-14       Impact factor: 8.140

8.  A local measure of symmetry and orientation for individual spikes of grid cells.

Authors:  Simon N Weber; Henning Sprekeler
Journal:  PLoS Comput Biol       Date:  2019-02-07       Impact factor: 4.475

9.  A geometric attractor mechanism for self-organization of entorhinal grid modules.

Authors:  Louis Kang; Vijay Balasubramanian
Journal:  Elife       Date:  2019-08-02       Impact factor: 8.140

  9 in total

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