Evidence map›Paper›PMID 26748022›Full record

ReviewNeurobiology of learning and memory2016

Representation of memories in the cortical-hippocampal system: Results from the application of population similarity analyses.

Sam McKenzie, Christopher S Keene, Anja Farovik, John Bladon, Ryan Place, Robert Komorowski, Howard Eichenbaum

Abstract readReview
In one paragraph

Review in Neurobiology of learning and memory, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Volitional learning promotes theta phase coding in the human hippocampus.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Trial
  2. Article
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  4. Article
  5. Modelling of What-Where-When Everyday Memories in Rats.The European journal of neuroscience · 2025
    Article
  6. Article
  7. How our understanding of memory replay evolves.Journal of neurophysiology · 2023
    Review
  8. Hippocampal-medial prefrontal cortex network dynamics predict performance during retrieval in a context-guided object memory task.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Concept formation as a computational cognitive process.Current opinion in behavioral sciences · 2021
    Article
  14. Piecing together the orbitofrontal puzzle.Behavioral neuroscience · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  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

7 authors.

Sam McKenzieThe Neuroscience Institute, NYU Langone Medical Center, United States.
Christopher S KeeneCenter for Memory and Brain, Boston University, United States.
Anja FarovikCenter for Memory and Brain, Boston University, United States.
John BladonCenter for Memory and Brain, Boston University, United States.
Ryan PlaceCenter for Memory and Brain, Boston University, United States.
Robert KomorowskiPicower Institute for Learning and Memory, Massachusetts Institute of Technology, United States.
Howard EichenbaumCenter for Memory and Brain, Boston University, United States.

Funding

Prefrontal and Medial-Temporal Interactions in MemoryP50MH094263 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI HASSELMO, MICHAEL E · 2011 to 2015
$8.7M
COMPARATIVE COGNITION AND HIPPOCAMPAL FUNCTIONR01MH052090 · NIMH · STATE UNIVERSITY NEW YORK STONY BROOK · PI HASSELMO, MICHAEL E · 1994 to 2020
$6.4M
HIPPOCAMPAL AND CORTICAL CODING IN MEMORYR01MH051570 · NIMH · STATE UNIVERSITY NEW YORK STONY BROOK · PI HASSELMO, MICHAEL E · 1995 to 2018
$6.0M
Temporal Organization of Memory in the HippocampusR01MH095297 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI HOWARD, MARC W · 2011 to 2020
$4.1M
Integration of the hippocampal temporal code by post-synaptic neural readers: testing the relevance of fine spike-timing to memoryF32MH107159 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MCKENZIE, SAMUEL ARNOLD · 2015 to 2017
$168k
NIMH NIH HHS F32 MH107159NIMH NIH HHS P50 MH094263NIMH NIH HHS R01 MH051570NIMH NIH HHS R01 MH052090NIMH NIH HHS R01 MH095297
6 · The paper itself

Abstract

Here we consider the value of neural population analysis as an approach to understanding how information is represented in the hippocampus and cortical areas and how these areas might interact as a brain system to support memory. We argue that models based on sparse coding of different individual features by single neurons in these areas (e.g., place cells, grid cells) are inadequate to capture the complexity of experience represented within this system. By contrast, population analyses of neurons with denser coding and mixed selectivity reveal new and important insights into the organization of memories. Furthermore, comparisons of the organization of information in interconnected areas suggest a model of hippocampal-cortical interactions that mediates the fundamental features of memory.

Indexed as

Models, NeurologicalAnimalsEntorhinal CortexHippocampusHumansMemoryPerirhinal CortexPrefrontal CortexEntorhinalHippocampusMemoryOrbitofrontalPattern separationSchema

Identifiers

PMID26748022
PMCPMC4930430

What OpenQuestion holds

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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.