Evidence map›Paper›PMID 25297097›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2014

Sparse coding and lateral inhibition arising from balanced and unbalanced dendrodendritic excitation and inhibition.

Yuguo Yu, Michele Migliore, Michael L Hines, Gordon M Shepherd

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.1field-weighted citation impact, top 14% of its field
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

23 citing papers in PubMed, 54 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Connectivity and dynamics in the olfactory bulb.PLoS computational biology · 2022
    Article
  8. Energy efficiency and coding of neural network.Frontiers in neuroscience · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
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  14. Article
  15. Review
  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 at 2 institutions in 3 countries.

Yuguo YuCenter for Computational Systems Biology, The State Key Laboratory of Medical Neurobiology and Institutes of Brain Science, Fudan University, School of Life Sciences, Shanghai, 200433, China, Department of Neurobiology, Yale University School of Medicine, New Haven, Connecticut 06520, and yuyuguo@fudan.edu.cn.
Michele MiglioreDepartment of Neurobiology, Yale University School of Medicine, New Haven, Connecticut 06520, and Institute of Biophysics, National Research Council, 90146 Palermo, Italy.
Michael L HinesDepartment of Neurobiology, Yale University School of Medicine, New Haven, Connecticut 06520, and.
Gordon M ShepherdDepartment of Neurobiology, Yale University School of Medicine, New Haven, Connecticut 06520, and.
Yale University · USState Key Laboratory of Medical Neurobiology

Funding

COMPUTER METHODS FOR PHYSIOLOGICAL PROBLEMSR01NS011613 · NINDS · YALE UNIVERSITY · PI MICHAEL L HINES, Robert A. McDougal · 1985 to 2026
$10.4M
SenseLab: Integration of Multidisciplinary Sensory DataR01DC009977 · NIDCD · YALE UNIVERSITY · PI HINES, MICHAEL L, MCDOUGAL, ROBERT A. · 2009 to 2018
$6.7M
INTEGRATIVE MECHANISMS OF CORTICAL NEURONSR01DC000086 · NIDCD · YALE UNIVERSITY · PI SHEPHERD, GORDON · 1989 to 2010
$3.6M
NIDCD NIH HHS DC-00086NIDCD NIH HHS R01 DC000086NIDCD NIH HHS R01 DC009977NIDCD NIH HHS R01DC009977-03NINDS NIH HHS NS11613NINDS NIH HHS R01 NS011613
6 · The paper itself

Abstract

The precise mechanism by which synaptic excitation and inhibition interact with each other in odor coding through the unique dendrodendritic synaptic microcircuits present in olfactory bulb is unknown. Here a scaled-up model of the mitral-granule cell network in the rodent olfactory bulb is used to analyze dendrodendritic processing of experimentally determined odor patterns. We found that the interaction between excitation and inhibition is responsible for two fundamental computational mechanisms: (1) a balanced excitation/inhibition in strongly activated mitral cells, leading to a sparse representation of odorant input, and (2) an unbalanced excitation/inhibition (inhibition dominated) in surrounding weakly activated mitral cells, leading to lateral inhibition. These results suggest how both mechanisms can carry information about the input patterns, with optimal level of synaptic excitation and inhibition producing the highest level of sparseness and decorrelation in the network response. The results suggest how the learning process, through the emergent development of these mechanisms, can enhance odor representation of olfactory bulb.

Indexed as

AnimalsDendritesLearningModels, NeurologicalNeural InhibitionNeural Networks, ComputerNeural PathwaysNeuronal PlasticityOlfactory BulbRatsSmellSynapsesbalanced excitation/inhibitiondendrodendritic synapselateral inhibitionodor codingolfactory bulbsparse coding

Identifiers

PMID25297097
PMCPMC4188968
OpenAlexW2081354168

What OpenQuestion 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 OpenQuestion graph.