Evidence map›Paper›PMID 33294626›Full record

ReviewBrain and neuroscience advances

Neurophysiological coding of space and time in the hippocampus, entorhinal cortex, and retrosplenial cortex.

Andrew S Alexander, Jennifer C Robinson, Holger Dannenberg, Nathaniel R Kinsky, Samuel J Levy, William Mau, G William Chapman, David W Sullivan, Michael E Hasselmo

Abstract readReview
In one paragraph

Review in Brain and neuroscience advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. Article
  3. Learning of visual sequences by neurons in the human hippocampus.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Pain and temporality: a merleau-pontyian approach.Medicine, health care, and philosophy · 2024
    Article
  8. Article
  9. Time Cells in the Retrosplenial Cortex.bioRxiv : the preprint server for biology · 2024
    Article
  10. Article
  11. Article
  12. Review
  13. Generalization of cognitive maps across space and time.Cerebral cortex (New York, N.Y. : 1991) · 2023
    Article
  14. Article
  15. Review
  16. Article
  17. Linking global top-down views to first-person views in the brain.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  18. Article
  19. Retrosplenial and Hippocampal Synchrony during Retrieval of Old Memories in Macaques.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  20. Article
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

9 authors.

Andrew S AlexanderCenter for Systems Neuroscience, Boston University, Boston, MA, USA.
Jennifer C RobinsonCenter for Systems Neuroscience, Boston University, Boston, MA, USA.
Holger DannenbergCenter for Systems Neuroscience, Boston University, Boston, MA, USA.
Nathaniel R KinskyCenter for Systems Neuroscience, Boston University, Boston, MA, USA.ORCID https://orcid.org/0000-0003-3005-6796
Samuel J LevyCenter for Systems Neuroscience, Boston University, Boston, MA, USA.
William MauCenter for Systems Neuroscience, Boston University, Boston, MA, USA.
G William ChapmanCenter for Systems Neuroscience, Boston University, Boston, MA, USA.
David W SullivanCenter for Systems Neuroscience, Boston University, Boston, MA, USA.
Michael E HasselmoCenter for Systems Neuroscience, Boston University, Boston, MA, USA.ORCID https://orcid.org/0000-0002-9925-6377

Funding

NEUROMODULATION AND CORTICAL MEMORY FUNCTIONR01MH060013 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI HASSELMO, MICHAEL E · 2000 to 2019
$6.8M
COMPARATIVE COGNITION AND HIPPOCAMPAL FUNCTIONR01MH052090 · NIMH · STATE UNIVERSITY NEW YORK STONY BROOK · PI HASSELMO, MICHAEL E · 1994 to 2020
$6.4M
Egocentric and Allocentric Spatial Coding in CortexR01MH120073 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI HASSELMO, MICHAEL E · 2019 to 2023
$2.5M
The Role of Sensory Inputs and Cholinergic Modulation for the Coding of Location and Movement Speed in the Entorhinal CortexK99NS116129 · NINDS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI DANNENBERG, HOLGER · 2020 to 2021
$243k
Retrosplenial Cortex Interactions with Entorhinal Cortex and the Visual Anchoring of Spatial RepresentationsF32NS101836 · NINDS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI ALEXANDER, ANDREW S. · 2017 to 2020
$210k
Manipulating cellular excitability and CREB expression in CA1 to restore spatial processing in aged mice to young-like levelsF32AG067640 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MAU, WILLIAM · 2020 to 2022
$138k
NIA NIH HHS F32 AG067640NIMH NIH HHS R01 MH052090NIMH NIH HHS R01 MH060013NIMH NIH HHS R01 MH120073NINDS NIH HHS F32 NS101836NINDS NIH HHS K99 NS116129
6 · The paper itself

Abstract

Neurophysiological recordings in behaving rodents demonstrate neuronal response properties that may code space and time for episodic memory and goal-directed behaviour. Here, we review recordings from hippocampus, entorhinal cortex, and retrosplenial cortex to address the problem of how neurons encode multiple overlapping spatiotemporal trajectories and disambiguate these for accurate memory-guided behaviour. The solution could involve neurons in the entorhinal cortex and hippocampus that show mixed selectivity, coding both time and location. Some grid cells and place cells that code space also respond selectively as time cells, allowing differentiation of time intervals when a rat runs in the same location during a delay period. Cells in these regions also develop new representations that differentially code the context of prior or future behaviour allowing disambiguation of overlapping trajectories. Spiking activity is also modulated by running speed and head direction, supporting the coding of episodic memory not as a series of snapshots but as a trajectory that can also be distinguished on the basis of speed and direction. Recent data also address the mechanisms by which sensory input could distinguish different spatial locations. Changes in firing rate reflect running speed on long but not short time intervals, and few cells code movement direction, arguing against path integration for coding location. Instead, new evidence for neural coding of environmental boundaries in egocentric coordinates fits with a modelling framework in which egocentric coding of barriers combined with head direction generates distinct allocentric coding of location. The egocentric input can be used both for coding the location of spatiotemporal trajectories and for retrieving specific viewpoints of the environment. Overall, these different patterns of neural activity can be used for encoding and disambiguation of prior episodic spatiotemporal trajectories or for planning of future goal-directed spatiotemporal trajectories.

Indexed as

Entorhinal cortexhippocampusmedial septumretrosplenial cortextheta rhythm

Identifiers

PMID33294626
PMCPMC7708714

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.