Laptev, D;
Burgess, N;
(2019)
Neural Dynamics Indicate Parallel Integration of Environmental and Self-Motion Information by Place and Grid Cells.
Frontiers in Neural Circuits
, 13
, Article 59. 10.3389/fncir.2019.00059.
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Abstract
Place cells and grid cells in the hippocampal formation are thought to integrate sensory and self-motion information into a representation of estimated spatial location, but the precise mechanism is unknown. We simulated a parallel attractor system in which place cells form an attractor network driven by environmental inputs and grid cells form an attractor network performing path integration driven by self-motion, with inter-connections between them allowing both types of input to influence firing in both ensembles. We show that such a system is needed to explain the spatial patterns and temporal dynamics of place cell firing when rats run on a linear track in which the familiar correspondence between environmental and self-motion inputs is changed. In contrast, the alternative architecture of a single recurrent network of place cells (performing path integration and receiving environmental inputs) cannot reproduce the place cell firing dynamics. These results support the hypothesis that grid and place cells provide two different but complementary attractor representations (based on self-motion and environmental sensory inputs, respectively). Our results also indicate the specific neural mechanism and main predictors of hippocampal map realignment and make predictions for future studies.
| Type: | Article |
|---|---|
| Title: | Neural Dynamics Indicate Parallel Integration of Environmental and Self-Motion Information by Place and Grid Cells |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3389/fncir.2019.00059 |
| Publisher version: | https://doi.org/10.3389/fncir.2019.00059 |
| Language: | English |
| Additional information: | Copyright © 2019 Laptev and Burgess. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (http://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
| Keywords: | continuous attractor, neural network, place cells, grid cells, hippocampus, spatial navigation, path integration |
| 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 > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Clinical and Experimental Epilepsy |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10087109 |
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