Evidence map›Paper›PMID 28389238›Full record

ReviewNeuroscience letters2018

Barlow versus Hebb: When is it time to abandon the notion of feature detectors and adopt the cell assembly as the unit of cognition?

Howard Eichenbaum

Abstract readReview
In one paragraph

Review in Neuroscience letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Review
  2. Homeostatic Plasticity Enables Stable yet Tunable Neuronal Assemblies.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Place cells may simply be memory cells: Memory compression leads to spatial tuning and history dependence.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  18. Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity.Advances in neural information processing systems · 2021
    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

1 author.

Howard EichenbaumCenter for Memory and Brain, Boston University, Boston, MA 02215, United States. Electronic address: hbe@bu.edu.

Funding

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
NIMH NIH HHS R01 MH051570NIMH NIH HHS R01 MH052090NIMH NIH HHS R01 MH095297
6 · The paper itself

Abstract

Research on how information is encoded by the brain is largely based on studies of feature detector properties of single neurons, but considerable new data shows that single neurons in many brain areas have mixed selectivity for multiple features and change their tuning properties across realistic information processing situations. Here I consider new approaches that explore cell assemblies as the units of information processing and how these approaches are revealing the structure and organization of neural representations in perception and cognition.

Indexed as

AnimalsCognitionHippocampusNerve NetNeuronsPrefrontal CortexTemporal LobeCell assembliesFeature detectorsHippocampusInferotemporal cortexPrefrontal cortex

Identifiers

PMID28389238
PMCPMC5628090

What OpenQuestion holds

Textmetadata
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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.