Continuous attractor network models of grid cell firing based on excitatory–inhibitory interactions

Neurons in the medial entorhinal cortex encode location through spatial firing fields that have a grid‐like organisation. The challenge of identifying mechanisms for grid firing has been addressed through experimental and theoretical investigations of medial entorhinal circuits. Here, we discuss evi...

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Main Authors: Shipston‐Sharman, Oliver, Solanka, Lukas, Nolan, Matthew F.
Format: Online
Language:English
Published: John Wiley and Sons Inc. 2016
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5108899/
id pubmed-5108899
recordtype oai_dc
spelling pubmed-51088992016-11-25 Continuous attractor network models of grid cell firing based on excitatory–inhibitory interactions Shipston‐Sharman, Oliver Solanka, Lukas Nolan, Matthew F. Symposium section reviews: Neural circuits for spatial computation Neurons in the medial entorhinal cortex encode location through spatial firing fields that have a grid‐like organisation. The challenge of identifying mechanisms for grid firing has been addressed through experimental and theoretical investigations of medial entorhinal circuits. Here, we discuss evidence for continuous attractor network models that account for grid firing by synaptic interactions between excitatory and inhibitory cells. These models assume that grid‐like firing patterns are the result of computation of location from velocity inputs, with additional spatial input required to oppose drift in the attractor state. We focus on properties of continuous attractor networks that are revealed by explicitly considering excitatory and inhibitory neurons, their connectivity and their membrane potential dynamics. Models at this level of detail can account for theta‐nested gamma oscillations as well as grid firing, predict spatial firing of interneurons as well as excitatory cells, show how gamma oscillations can be modulated independently from spatial computations, reveal critical roles for neuronal noise, and demonstrate that only a subset of excitatory cells in a network need have grid‐like firing fields. Evaluating experimental data against predictions from detailed network models will be important for establishing the mechanisms mediating grid firing. John Wiley and Sons Inc. 2016-02-24 2016-11-15 /pmc/articles/PMC5108899/ /pubmed/27870120 http://dx.doi.org/10.1113/JP270630 Text en © 2016 The Authors. The Journal of Physiology published by John Wiley & Sons Ltd on behalf of The Physiological Society This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Shipston‐Sharman, Oliver
Solanka, Lukas
Nolan, Matthew F.
spellingShingle Shipston‐Sharman, Oliver
Solanka, Lukas
Nolan, Matthew F.
Continuous attractor network models of grid cell firing based on excitatory–inhibitory interactions
author_facet Shipston‐Sharman, Oliver
Solanka, Lukas
Nolan, Matthew F.
author_sort Shipston‐Sharman, Oliver
title Continuous attractor network models of grid cell firing based on excitatory–inhibitory interactions
title_short Continuous attractor network models of grid cell firing based on excitatory–inhibitory interactions
title_full Continuous attractor network models of grid cell firing based on excitatory–inhibitory interactions
title_fullStr Continuous attractor network models of grid cell firing based on excitatory–inhibitory interactions
title_full_unstemmed Continuous attractor network models of grid cell firing based on excitatory–inhibitory interactions
title_sort continuous attractor network models of grid cell firing based on excitatory–inhibitory interactions
description Neurons in the medial entorhinal cortex encode location through spatial firing fields that have a grid‐like organisation. The challenge of identifying mechanisms for grid firing has been addressed through experimental and theoretical investigations of medial entorhinal circuits. Here, we discuss evidence for continuous attractor network models that account for grid firing by synaptic interactions between excitatory and inhibitory cells. These models assume that grid‐like firing patterns are the result of computation of location from velocity inputs, with additional spatial input required to oppose drift in the attractor state. We focus on properties of continuous attractor networks that are revealed by explicitly considering excitatory and inhibitory neurons, their connectivity and their membrane potential dynamics. Models at this level of detail can account for theta‐nested gamma oscillations as well as grid firing, predict spatial firing of interneurons as well as excitatory cells, show how gamma oscillations can be modulated independently from spatial computations, reveal critical roles for neuronal noise, and demonstrate that only a subset of excitatory cells in a network need have grid‐like firing fields. Evaluating experimental data against predictions from detailed network models will be important for establishing the mechanisms mediating grid firing.
publisher John Wiley and Sons Inc.
publishDate 2016
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5108899/
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