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Untethered firing fields and intermittent silences: Why grid-cell discharge is so variable
Johannes Nagele1, Andreas V M Herz1, Martin B Stemmler1
1Bernstein Center for Computational Neuroscience Munich and Faculty of Biology, Ludwig-Maximilians-Universität München, Munich, Germany.
Grid cells in the medial entorhinal cortex show significant trial-to-trial variability. This study reveals that firing fields are not fixed to locations, and synchronized drifting across cells impacts spatial representation reliability.
Area of Science:
- Neuroscience
- Computational Neuroscience
Background:
- Grid cells in the medial entorhinal cortex exhibit hexagonal firing fields crucial for spatial navigation.
- Despite regular field structures, grid cell responses display considerable trial-to-trial variability, the origins of which remain unclear.
Purpose of the Study:
- To investigate the sources of trial-to-trial variability in grid cell firing.
- To characterize the phenomenon of
- missed
- firing fields using statistical zero-inflation models.
Main Methods:
- Analysis of grid cell spike trains from mice in open arenas and on linear tracks.
- Application of the statistical theory of zero inflation to quantify firing field variability.
- Examination of spatial realignment and trial-to-trial drift in grid cell ensembles.
Main Results:
- Grid cell firing fields are less anchored to specific spatial locations than previously assumed.
- A significant portion of grid cell variability stems from the dynamic nature of spatial representations.
- Grid cell fields exhibit correlated drift across trials, independent of environmental conditions or locomotion.
Conclusions:
- Ensembles of grid cells provide a more reliable encoding of relative spatial position compared to absolute position.
- Spatial realignment across trials enhances the precision and prominence of grid cell representations.
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