Correlation structure of grid cells is preserved during sleep

The network of grid cells in the medial entorhinal cortex (MEC) forms a fixed reference frame for mapping physical space. The mechanistic origin of the grid representation is unknown, but continuous attractor network models explain multiple fundamental features of grid cell activity. An untested pre...

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Veröffentlicht in:Nature neuroscience Jg. 22; H. 4; S. 598 - 608
Hauptverfasser: Gardner, Richard J, Lu, Li, Wernle, Tanja, Moser, May-Britt, Moser, Edvard I
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Nature Publishing Group 01.04.2019
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ISSN:1097-6256, 1546-1726, 1546-1726
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Abstract The network of grid cells in the medial entorhinal cortex (MEC) forms a fixed reference frame for mapping physical space. The mechanistic origin of the grid representation is unknown, but continuous attractor network models explain multiple fundamental features of grid cell activity. An untested prediction of these models is that the grid cell network should exhibit an activity correlation structure that transcends behavioral states. By recording from MEC cell ensembles during navigation and sleep, we found that spatial phase offsets of grid cells predict arousal-state-independent spike rate correlations. Similarly, state-invariant correlations between conjunctive grid-head direction and pure head direction cells were predicted by their head direction tuning offsets during awake behavior. Grid cells were only weakly correlated across grid modules, and module scale relationships disintegrated during slow-wave sleep, suggesting that grid modules function as independent attractor networks. Collectively, our observations imply that network states in MEC are expressed universally across brain and behavior states.
AbstractList The network of grid cells in the medial entorhinal cortex (MEC) forms a fixed reference frame for mapping physical space. The mechanistic origin of the grid representation is unknown, but continuous attractor network models explain multiple fundamental features of grid cell activity. An untested prediction of these models is that the grid cell network should exhibit an activity correlation structure that transcends behavioral states. By recording from MEC cell ensembles during navigation and sleep, we found that spatial phase offsets of grid cells predict arousal-state-independent spike rate correlations. Similarly, state-invariant correlations between conjunctive grid-head direction and pure head direction cells were predicted by their head direction tuning offsets during awake behavior. Grid cells were only weakly correlated across grid modules, and module scale relationships disintegrated during slow-wave sleep, suggesting that grid modules function as independent attractor networks. Collectively, our observations imply that network states in MEC are expressed universally across brain and behavior states.
The network of grid cells in the medial entorhinal cortex (MEC) forms a fixed reference frame for mapping physical space. The mechanistic origin of the grid representation is unknown, but continuous attractor network models explain multiple fundamental features of grid cell activity. An untested prediction of these models is that the grid cell network should exhibit an activity correlation structure that transcends behavioral states. By recording from MEC cell ensembles during navigation and sleep, we found that spatial phase offsets of grid cells predict arousal-state-independent spike rate correlations. Similarly, state-invariant correlations between conjunctive grid–head direction and pure head direction cells were predicted by their head direction tuning offsets during awake behavior. Grid cells were only weakly correlated across grid modules, and module scale relationships disintegrated during slow-wave sleep, suggesting that grid modules function as independent attractor networks. Collectively, our observations imply that network states in MEC are expressed universally across brain and behavior states.Recording from cell ensembles in the medial entorhinal cortex, Gardner et al. show that the correlation structure of the grid cell system is preserved between awake and sleep states. This rigidity is a signature of continuous attractor networks.
The network of grid cells in the medial entorhinal cortex (MEC) forms a fixed reference frame for mapping physical space. The mechanistic origin of the grid representation is unknown, but continuous attractor network models explain multiple fundamental features of grid cell activity. An untested prediction of these models is that the grid cell network should exhibit an activity correlation structure that transcends behavioral states. By recording from MEC cell ensembles during navigation and sleep, we found that spatial phase offsets of grid cells predict arousal-state-independent spike rate correlations. Similarly, state-invariant correlations between conjunctive grid-head direction and pure head direction cells were predicted by their head direction tuning offsets during awake behavior. Grid cells were only weakly correlated across grid modules, and module scale relationships disintegrated during slow-wave sleep, suggesting that grid modules function as independent attractor networks. Collectively, our observations imply that network states in MEC are expressed universally across brain and behavior states.The network of grid cells in the medial entorhinal cortex (MEC) forms a fixed reference frame for mapping physical space. The mechanistic origin of the grid representation is unknown, but continuous attractor network models explain multiple fundamental features of grid cell activity. An untested prediction of these models is that the grid cell network should exhibit an activity correlation structure that transcends behavioral states. By recording from MEC cell ensembles during navigation and sleep, we found that spatial phase offsets of grid cells predict arousal-state-independent spike rate correlations. Similarly, state-invariant correlations between conjunctive grid-head direction and pure head direction cells were predicted by their head direction tuning offsets during awake behavior. Grid cells were only weakly correlated across grid modules, and module scale relationships disintegrated during slow-wave sleep, suggesting that grid modules function as independent attractor networks. Collectively, our observations imply that network states in MEC are expressed universally across brain and behavior states.
Author Gardner, Richard J
Wernle, Tanja
Moser, May-Britt
Lu, Li
Moser, Edvard I
Author_xml – sequence: 1
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  orcidid: 0000-0002-3242-8840
  surname: Gardner
  fullname: Gardner, Richard J
  email: richard.gardner@ntnu.no
  organization: Kavli Institute for Systems Neuroscience and Centre for Neural Computation, Norwegian University of Science and Technology, Trondheim, Norway. richard.gardner@ntnu.no
– sequence: 2
  givenname: Li
  surname: Lu
  fullname: Lu, Li
  organization: Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA
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  givenname: Tanja
  orcidid: 0000-0002-2722-5512
  surname: Wernle
  fullname: Wernle, Tanja
  organization: Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
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  givenname: May-Britt
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  fullname: Moser, May-Britt
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  surname: Moser
  fullname: Moser, Edvard I
  email: edvard.moser@ntnu.no
  organization: Kavli Institute for Systems Neuroscience and Centre for Neural Computation, Norwegian University of Science and Technology, Trondheim, Norway. edvard.moser@ntnu.no
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Snippet The network of grid cells in the medial entorhinal cortex (MEC) forms a fixed reference frame for mapping physical space. The mechanistic origin of the grid...
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SubjectTerms Action Potentials
Animals
Arousal
Brain
Correlation
Cortex (entorhinal)
Disintegration
Entorhinal Cortex - physiology
Firing rate
Grid Cells - physiology
Head direction cells
Hippocampus - physiology
Male
Mapping
Mathematical models
Modules
Offsets
Predictions
Rats, Long-Evans
Recording
Sleep
Spatial Processing - physiology
Title Correlation structure of grid cells is preserved during sleep
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