ArticleNature communications2024
Uncovering 2-D toroidal representations in grid cell ensemble activity during 1-D behavior.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Spatial and temporal representations are organized along a stable coding gradient in the medial entorhinal cortex.bioRxiv : the preprint server for biology · 2026Article
- Grid cells accurately track movement during path integration-based navigation despite switching reference frames.Nature neuroscience · 2025Article
- A neural manifold view of the brain.Nature neuroscience · 2025Review
- De novo motor learning creates structure in neural activity that shapes adaptation.Nature communications · 2024Article
- Nonlinear manifolds underlie neural population activity during behaviour.bioRxiv : the preprint server for biology · 2024Article
- Topological structure of population activity in mouse visual cortex encodes densely sampled stimulus rotations.iScience · 2024Article
- Empirically validated theoretical analysis of visual-spatial perception under change of nervous system arousal.Frontiers in computational neuroscience · 2023Article
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Authors and funding
3 authors.
Funding
Abstract
Minimal experiments, such as head-fixed wheel-running and sleep, offer experimental advantages but restrict the amount of observable behavior, making it difficult to classify functional cell types. Arguably, the grid cell, and its striking periodicity, would not have been discovered without the perspective provided by free behavior in an open environment. Here, we show that by shifting the focus from single neurons to populations, we change the minimal experimental complexity required. We identify grid cell modules and show that the activity covers a similar, stable toroidal state space during wheel running as in open field foraging. Trajectories on grid cell tori correspond to single trial runs in virtual reality and path integration in the dark, and the alignment of the representation rapidly shifts with changes in experimental conditions. Thus, we provide a methodology to discover and study complex internal representations in even the simplest of experiments.
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Registered trials
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