Evidence map›Paper›PMID 22393918›Full record

ArticleThe European journal of neuroscience2012

A goal-directed spatial navigation model using forward trajectory planning based on grid cells.

Uğur M Erdem, Michael Hasselmo

Abstract read
In one paragraph

Article in The European journal of neuroscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed
5.0field-weighted citation impact, top 4% of its field
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

84 citing papers in PubMed, 212 citations in OpenAlex.

  1. Article
  2. Cognitive maps as a medium for thought.Trends in cognitive sciences · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Navigation: Scanning your future path.Current biology : CB · 2025
    Article
  12. Review
  13. Review
  14. Review
  15. Disentangling reference frames in the neural compass.Imaging neuroscience (Cambridge, Mass.) · 2024
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

24 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

2 authors at 1 institution in 1 country.

Uğur M ErdemCenter for Memory and Brain and Program in Neuroscience, Boston University, 2 Cummington Street, Boston, MA 02215, USA. merdem@bu.edu
Michael Hasselmo
Boston University · US

Funding

Models of behavior and spike timing in sequence memoryP50MH071702 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI EICHENBAUM, HOWARD B. · 2006 to 2010
$8.8M
Prefrontal and Medial-Temporal Interactions in MemoryP50MH094263 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI MILLER, EARL K · 2011 to 2015
$8.7M
NEUROMODULATION AND CORTICAL MEMORY FUNCTIONR01MH060013 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI HASSELMO, MICHAEL E · 2000 to 2019
$6.8M
NIMH NIH HHS P50 MH071702NIMH NIH HHS P50 MH094263NIMH NIH HHS R01 MH060013NIMH NIH HHS R01 MH60013
6 · The paper itself

Abstract

A goal-directed navigation model is proposed based on forward linear look-ahead probe of trajectories in a network of head direction cells, grid cells, place cells and prefrontal cortex (PFC) cells. The model allows selection of new goal-directed trajectories. In a novel environment, the virtual rat incrementally creates a map composed of place cells and PFC cells by random exploration. After exploration, the rat retrieves memory of the goal location, picks its next movement direction by forward linear look-ahead probe of trajectories in several candidate directions while stationary in one location, and finds the one activating PFC cells with the highest reward signal. Each probe direction involves activation of a static pattern of head direction cells to drive an interference model of grid cells to update their phases in a specific direction. The updating of grid cell spiking drives place cells along the probed look-ahead trajectory similar to the forward replay during waking seen in place cell recordings. Directions are probed until the look-ahead trajectory activates the reward signal and the corresponding direction is used to guide goal-finding behavior. We report simulation results in several mazes with and without barriers. Navigation with barriers requires a PFC map topology based on the temporal vicinity of visited place cells and a reward signal diffusion process. The interaction of the forward linear look-ahead trajectory probes with the reward diffusion allows discovery of never-before experienced shortcuts towards a goal location.

Indexed as

Models, NeurologicalNeural Networks, ComputerUser-Computer InterfaceAnimalsGoalsMaze LearningNeuronsRatsSpatial Behavior

Identifiers

PMID22393918
PMCPMC3564559
OpenAlexW1950640079

What OpenQuestion holds

Textmetadata
LicenceTDM
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.