Evidence map›Paper›PMID 39352933›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Signatures of criticality in efficient coding networks.

Shervin Safavi, Matthew Chalk, Nikos K Logothetis, Anna Levina

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Emergent critical oscillations in motor cortex of Parkinson's patients.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Measurement effects on critical scaling in neural systems.Frontiers in computational neuroscience · 2025
    Article
  13. Article
  14. 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

4 authors.

Shervin SafaviComputational Neuroscience, Department of Child and Adolescent Psychiatry, Faculty of Medicine, Technische Universität Dresden, Dresden 01307, Germany.ORCID 0000-0002-2868-530X
Matthew ChalkInstitut de la Vision, INSERM, CNRS, Sorbonne Université, Paris 75014, France.ORCID 0000-0001-7782-4436
Nikos K LogothetisDepartment of Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Tübingen 72076, Germany.
Anna LevinaDepartment of Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Tübingen 72076, Germany.ORCID 0000-0003-1355-6617

Funding

Agence Nationale de la Recherche (ANR) OPC - 17-CE37-0013-01Alexander von Humboldt-Stiftung (AvH) N/AMachine Learning Cluster of Excellence 2064/1 Project number 39072764Max-Planck-Gesellschaft (MPG) N/AShanghai Municipal Science and Technology Major Project 2019SHZDZX02
6 · The paper itself

Abstract

The critical brain hypothesis states that the brain can benefit from operating close to a second-order phase transition. While it has been shown that several computational aspects of sensory processing (e.g., sensitivity to input) can be optimal in this regime, it is still unclear whether these computational benefits of criticality can be leveraged by neural systems performing behaviorally relevant computations. To address this question, we investigate signatures of criticality in networks optimized to perform efficient coding. We consider a spike-coding network of leaky integrate-and-fire neurons with synaptic transmission delays. Previously, it was shown that the performance of such networks varies nonmonotonically with the noise amplitude. Interestingly, we find that in the vicinity of the optimal noise level for efficient coding, the network dynamics exhibit some signatures of criticality, namely, scale-free dynamics of the spiking and the presence of crackling noise relation. Our work suggests that two influential, and previously disparate theories of neural processing optimization (efficient coding and criticality) may be intimately related.

Indexed as

Action PotentialsModels, NeurologicalNerve NetNeuronsSynaptic TransmissionAnimalsBrainHumanscriticalityefficient codingneural computationneural dynamics

Identifiers

PMID39352933
PMCPMC11474077

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.