Evidence map›Paper›PMID 26247860›Full record

ReviewNeuron2015

Using Grid Cells for Navigation.

Daniel Bush, Caswell Barry, Daniel Manson, Neil Burgess

Abstract readReview
In one paragraph

Review in Neuron, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 125 papers.

0numbers the graph read from it
0cells of the map it votes in
125citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

125 citing papers in PubMed.

  1. Article
  2. Cognitive maps as a medium for thought.Trends in cognitive sciences · 2026
    Review
  3. Planning in the Brain: It's Not What You Think It Is.Annual review of neuroscience · 2026
    Review
  4. A simple model of co-emergence of grid and place fields.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Cognitive Maps in the Prefrontal Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

65 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Daniel BushUCL Institute of Cognitive Neuroscience, 17 Queen Square, London, WC1N 3AR, UK; UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK. Electronic address: drdanielbush@gmail.com.
Caswell BarryUCL Department of Cell and Developmental Biology, Gower Street, London, WC1E 6BT, UK.
Daniel MansonUCL Department of Cell and Developmental Biology, Gower Street, London, WC1E 6BT, UK; UCL Centre for Mathematics and Physics in the Life Sciences and Experimental Biology, Gower Street, London, WC1E 6BT, UK.
Neil BurgessUCL Institute of Cognitive Neuroscience, 17 Queen Square, London, WC1N 3AR, UK; UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK. Electronic address: n.burgess@ucl.ac.uk.

Funding

Wellcome Trust 091593Wellcome Trust 095811Wellcome Trust 101208
6 · The paper itself

Abstract

Mammals are able to navigate to hidden goal locations by direct routes that may traverse previously unvisited terrain. Empirical evidence suggests that this "vector navigation" relies on an internal representation of space provided by the hippocampal formation. The periodic spatial firing patterns of grid cells in the hippocampal formation offer a compact combinatorial code for location within large-scale space. Here, we consider the computational problem of how to determine the vector between start and goal locations encoded by the firing of grid cells when this vector may be much longer than the largest grid scale. First, we present an algorithmic solution to the problem, inspired by the Fourier shift theorem. Second, we describe several potential neural network implementations of this solution that combine efficiency of search and biological plausibility. Finally, we discuss the empirical predictions of these implementations and their relationship to the anatomy and electrophysiology of the hippocampal formation.

Indexed as

Neural Networks, ComputerAnimalsHippocampusHumansNeuronsOrientation

Identifiers

PMID26247860
PMCPMC4534384

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.