Evidence map›Paper›PMID 25786389›Full record

ReviewHippocampus2015

Current questions on space and time encoding.

Michael E Hasselmo, Chantal E Stern

Abstract readReview
In one paragraph

Review in Hippocampus, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Toward an Integration of Deep Learning and Neuroscience.Frontiers in computational neuroscience · 2016
    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

2 authors.

Michael E HasselmoCenter for Systems Neuroscience, Center for Memory and Brain, Department of Psychological and Brain Sciences and Graduate Program for Neuroscience, Boston University, Boston, Massachusetts.
Chantal E SternCenter for Systems Neuroscience, Center for Memory and Brain, Department of Psychological and Brain Sciences and Graduate Program for Neuroscience, Boston University, Boston, Massachusetts.

Funding

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
Mechanisms of Entorhinal Cortex FunctionR01MH061492 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI HASSELMO, MICHAEL E · 2000 to 2017
$5.0M
NIMH NIH HHS P50 MH094263NIMH NIH HHS R01 MH060013NIMH NIH HHS R01 MH061492NIMH NIH HHS R01 MH60013NIMH NIH HHS R01 MH61492
6 · The paper itself

Abstract

The Nobel Prize in Physiology or Medicine 2014 celebrated the groundbreaking findings on place cells and grid cells by John O'Keefe and May-Britt Moser and Edvard Moser. These findings provided an essential foothold for understanding the cognitive encoding of space and time in episodic memory function. This foothold provides a closer view of a broad new world of important research questions raised by the phenomena of place cells and grid cells. These questions concern the mechanisms of generation of place and grid cell firing, including sensory influences, circuit dynamics and intrinsic properties. Similar questions concern the generation of time cells. In addition, questions concern the functional role of place cells, grid cells and time cells in mediating goal-directed behavior and episodic memory function.

Indexed as

Action PotentialsAnimalsEntorhinal CortexHippocampusHumansModels, NeurologicalNeuronsSpace PerceptionTime Factorsentorhinal cortexgrid cellsplace cellsrat

Identifiers

PMID25786389
PMCPMC7903585

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.