Evidence map›Paper›PMID 24808855›Full record

ArticleFrontiers in computational neuroscience2014

Distributed organization of a brain microcircuit analyzed by three-dimensional modeling: the olfactory bulb.

Michele Migliore, Francesco Cavarretta, Michael L Hines, Gordon M Shepherd

Abstract read
In one paragraph

Article in Frontiers in computational neuroscience, 2014. 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. Article
  2. Article
  3. Multi-scale spiking network model of human cerebral cortex.Cerebral cortex (New York, N.Y. : 1991) · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Connectivity and dynamics in the olfactory bulb.PLoS computational biology · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Reproducibility in Computational Neuroscience Models and Simulations.IEEE transactions on bio-medical engineering · 2016
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Rapid Feedforward Inhibition and Asynchronous Excitation Regulate Granule Cell Activity in the Mammalian Main Olfactory Bulb.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015
    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.

Michele MiglioreDepartment of Neurobiology, School of Medicine, Yale University New Haven, CT, USA ; Institute of Biophysics, National Research Council Palermo, Italy.
Francesco CavarrettaDepartment of Neurobiology, School of Medicine, Yale University New Haven, CT, USA ; Institute of Biophysics, National Research Council Palermo, Italy.
Michael L HinesDepartment of Neurobiology, School of Medicine, Yale University New Haven, CT, USA.
Gordon M ShepherdDepartment of Neurobiology, School of Medicine, Yale University New Haven, CT, USA.

Funding

COMPUTER METHODS FOR PHYSIOLOGICAL PROBLEMSR01NS011613 · NINDS · YALE UNIVERSITY · PI MICHAEL L HINES, Robert A. McDougal · 1985 to 2026
$10.4M
NINDS NIH HHS R01 NS011613
6 · The paper itself

Abstract

The functional consequences of the laminar organization observed in cortical systems cannot be easily studied using standard experimental techniques, abstract theoretical representations, or dimensionally reduced models built from scratch. To solve this problem we have developed a full implementation of an olfactory bulb microcircuit using realistic three-dimensional (3D) inputs, cell morphologies, and network connectivity. The results provide new insights into the relations between the functional properties of individual cells and the networks in which they are embedded. To our knowledge, this is the first model of the mitral-granule cell network to include a realistic representation of the experimentally-recorded complex spatial patterns elicited in the glomerular layer (GL) by natural odor stimulation. Although the olfactory bulb, due to its organization, has unique advantages with respect to other brain systems, the method is completely general, and can be integrated with more general approaches to other systems. The model makes experimentally testable predictions on distributed processing and on the differential backpropagation of somatic action potentials in each lateral dendrite following odor learning, providing a powerful 3D framework for investigating the functions of brain microcircuits.

Indexed as

computational modelinggranule cellslateral inhibitionmitral cellsolfactory glomeruli

Identifiers

PMID24808855
PMCPMC4010739

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.