Evidence map›Paper›PMID 26903819›Full record

ArticleFrontiers in neuroanatomy2016

Odor Experience Facilitates Sparse Representations of New Odors in a Large-Scale Olfactory Bulb Model.

Shanglin Zhou, Michele Migliore, Yuguo Yu

Abstract read
In one paragraph

Article in Frontiers in neuroanatomy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Shanglin ZhouSchool of Life Science and The Collaborative Innovation Center for Brain Science, The Center for Computational Systems Biology, Fudan University Shanghai, China.
Michele MiglioreDivision of Palermo, Institute of Biophysics, National Research CouncilPalermo, Italy; Department of Neurobiology, Yale University School of MedicineNew Haven, CT, USA.
Yuguo YuSchool of Life Science and The Collaborative Innovation Center for Brain Science, The Center for Computational Systems Biology, Fudan University Shanghai, China.

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
NIDCD NIH HHS R01 DC009977NINDS NIH HHS R01 NS011613
6 · The paper itself

Abstract

Prior odor experience has a profound effect on the coding of new odor inputs by animals. The olfactory bulb, the first relay of the olfactory pathway, can substantially shape the representations of odor inputs. How prior odor experience affects the representation of new odor inputs in olfactory bulb and its underlying network mechanism are still unclear. Here we carried out a series of simulations based on a large-scale realistic mitral-granule network model and found that prior odor experience not only accelerated formation of the network, but it also significantly strengthened sparse responses in the mitral cell network while decreasing sparse responses in the granule cell network. This modulation of sparse representations may be due to the increase of inhibitory synaptic weights. Correlations among mitral cells within the network and correlations between mitral network responses to different odors decreased gradually when the number of prior training odors was increased, resulting in a greater decorrelation of the bulb representations of input odors. Based on these findings, we conclude that the degree of prior odor experience facilitates degrees of sparse representations of new odors by the mitral cell network through experience-enhanced inhibition mechanism.

Indexed as

large scale networkodor representationolfactory bulbprior experiencesparse representation

Identifiers

PMID26903819
PMCPMC4749983

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Registered trials

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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.