Evidence map›Paper›PMID 36279461›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Energy-efficient network activity from disparate circuit parameters.

Michael Deistler, Jakob H Macke, Pedro J Gonçalves

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  11. Intrinsic neural diversity quenches the dynamic volatility of neural networks.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  12. Review
  13. Article
  14. Energy-efficient network activity from disparate circuit parameters.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  15. Review
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

3 authors.

Michael DeistlerMachine Learning in Science, Excellence Cluster "Machine Learning," Tübingen University, 72076 Tübingen, Germany.ORCID 0000-0002-3573-0404
Jakob H MackeMachine Learning in Science, Excellence Cluster "Machine Learning," Tübingen University, 72076 Tübingen, Germany.ORCID 0000-0001-5154-8912
Pedro J GonçalvesMachine Learning in Science, Excellence Cluster "Machine Learning," Tübingen University, 72076 Tübingen, Germany.ORCID 0000-0002-6987-4836

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neural circuits can produce similar activity patterns from vastly different combinations of channel and synaptic conductances. These conductances are tuned for specific activity patterns but might also reflect additional constraints, such as metabolic cost or robustness to perturbations. How do such constraints influence the range of permissible conductances? Here we investigate how metabolic cost affects the parameters of neural circuits with similar activity in a model of the pyloric network of the crab

Indexed as

PylorusTemperatureBayesian inferenceenergy efficiencyneural dynamicsneuronal variabilitysimulation-based inference

Identifiers

PMID36279461
PMCPMC9636970

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.