Evidence map›Paper›PMID 39358027›Full record

ReviewThe Journal of neuroscience : the official journal of the Society for Neuroscience2024

The Brain's Best Kept Secret Is Its Degenerate Structure.

Larissa Albantakis, Christophe Bernard, Naama Brenner, Eve Marder, Rishikesh Narayanan

Abstract readReview
In one paragraph

Review in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Protecting episodic memory after sleep loss: Similar benefits of exercise and naps via distinct neural contributions.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Reductionism in Engram Neuroscience.The European journal of neuroscience · 2026
    Review
  9. Review
  10. Article
  11. Imprecision in Vision: Lessons From Neural Circuits in the Fly.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
  12. Emergent Homeostasis and Degeneracy From Multi-Dimensional Attractors.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
  13. Article
  14. Article
  15. Review
  16. A Neural Model for V1 That Incorporates Dendritic Nonlinearities and Backpropagating Action Potentials.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Overlapping Cortical Substrate of Biomechanical Control and Subjective Agency.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    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

5 authors.

Larissa AlbantakisDepartment of Psychiatry, University of Wisconsin-Madison, Madison, Wisconsin 53719.ORCID 0000-0003-1000-9917
Christophe BernardAix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France marder@brandeis.edu christophe.bernard@univ-amu.fr.ORCID 0000-0003-3014-1966
Naama BrennerDepartment of Chemical Engineering and Network Biology Research Lab, Technion Israel Institute of Technology, Haifa 32000, Israel.ORCID 0000-0002-8021-1208
Eve MarderBiology Department and Volen Center Brandeis University Waltham, Massachusetts 02454 marder@brandeis.edu christophe.bernard@univ-amu.fr.ORCID 0000-0001-9632-5448
Rishikesh NarayananCellular Neurophysiology Laboratory, Molecular Biophysics Unit, Indian Institute of Science, Bangalore 560012, India.ORCID 0000-0002-1362-4635

Funding

Neuromodulation and Robustness of Neurons and NetworksR35NS097343 · NINDS · BRANDEIS UNIVERSITY · PI MARDER, EVE E · 2017 to 2024
$7.8M
Variability and Compensation in Reliable Neuronal NetworksR01MH046742 · NIMH · BRANDEIS UNIVERSITY · PI MARDER, EVE E · 1990 to 2025
$7.8M
NIMH NIH HHS R01 MH046742NINDS NIH HHS R35 NS097343
6 · The paper itself

Abstract

Degeneracy is defined as multiple sets of solutions that can produce very similar system performance. Degeneracy is seen across phylogenetic scales, in all kinds of organisms. In neuroscience, degeneracy can be seen in the constellation of biophysical properties that produce a neuron's characteristic intrinsic properties and/or the constellation of mechanisms that determine circuit outputs or behavior. Here, we present examples of degeneracy at multiple levels of organization, from single-cell behavior, small circuits, large circuits, and, in cognition, drawing conclusions from work ranging from bacteria to human cognition. Degeneracy allows the individual-to-individual variability within a population that creates potential for evolution.

Indexed as

BrainNeuronsAnimalsBiological EvolutionCognitionHumansModels, NeurologicalNerve Netcausationcell biologydegeneracyevolutionhomeostasissystems neuroscience

Identifiers

PMID39358027
PMCPMC11450540

What Socratic holds

Textmetadata
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 Socratic graph.