UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Grid Cells Encode Local Positional Information

Ismakov, R; Barak, O; Jeffery, K; Derdikman, D; (2017) Grid Cells Encode Local Positional Information. Current Biology , 27 (15) 2337-2343.e3. 10.1016/j.cub.2017.06.034. Green open access

[thumbnail of Published article]
Preview
Text (Published article)
Ismakov_Grid_Cells_Encode.pdf - Published version

Download (1MB) | Preview
[thumbnail of Supplementary figures]
Preview
Text (Supplementary figures)
Ismakov_Grid_Cells_Encode_S1.pdf

Download (2MB) | Preview

Abstract

The brain has an extraordinary ability to create an internal spatial map of the external world [1]. This map-like representation of environmental surroundings is encoded through specific types of neurons, located within the hippocampus and entorhinal cortex, which exhibit spatially tuned firing patterns [2, 3]. In addition to encoding space, these neurons are believed to be related to contextual information and memory [4-7]. One class of such cells is the grid cells, which are located within the entorhinal cortex, presubiculum, and parasubiculum [3, 8]. Grid cell firing forms a hexagonal array of firing fields, a pattern that is largely thought to reflect the operation of intrinsic self-motion-related computations [9-12]. If this is the case, then fields should be relatively uniform in size, number of spikes, and peak firing rate. However, it has been suggested that this is not in fact the case [3, 13]. The possibility exists that local spatial information also influences grid cells, which-if true-would greatly change the way in which grid cells are thought to contribute to place coding. Accordingly, we asked how discriminable the individual fields of a given grid cell are by looking at the distribution of field firing rates and reproducibility of this distribution across trials. Grid fields were less uniform in intensity than expected, and the pattern of strong and weak fields was spatially stable and recurred across trials. The distribution remained unchanged even after arena rescaling, but not after remapping. This suggests that additional local information is being overlaid onto the global hexagonal pattern of grid cells.

Type: Article
Title: Grid Cells Encode Local Positional Information
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.cub.2017.06.034
Publisher version: https://doi.org/10.1016/j.cub.2017.06.034
Language: English
Additional information: Copyright © 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: grid cells; place cells; entorhinal cortex; hippocampus; cognitive map; spatial variability; remapping; spatial memory; path integration; self-localization
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Experimental Psychology
URI: https://discovery.ucl.ac.uk/id/eprint/1570141
Downloads since deposit
133Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item