Evidence map›Paper›PMID 33786083›Full record

ArticleCognitive neurodynamics2021

Network mechanism for insect olfaction.

Pamela B Pyzza, Katherine A Newhall, Gregor Kovačič, Douglas Zhou, David Cai

Open access · greenAbstract read
In one paragraph

Article in Cognitive neurodynamics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. 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

5 authors at 4 institutions in 2 countries.

Pamela B PyzzaDepartment of Mathematics and Statistics, Kenyon College, Gambier, OH USA.ORCID 0000-0003-2206-9415
Katherine A NewhallDepartment of Mathematics, University of North Carolina at Chapel Hill, Chapel Hill, NC USA.ORCID 0000-0003-3594-0441
Gregor KovačičDepartment of Mathematical Sciences, Rensselaer Polytechnic Institute, Troy, NY USA.
Douglas ZhouDepartment of Mathematics, MOE-LSC, and Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0001-6631-2961
David CaiDepartment of Mathematics, MOE-LSC, and Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai, China.
Shanghai Jiao Tong University · CNKenyon College · USRensselaer Polytechnic Institute · USUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early olfactory pathway responses to the presentation of an odor exhibit remarkably similar dynamical behavior across phyla from insects to mammals, and frequently involve transitions among quiescence, collective network oscillations, and asynchronous firing. We hypothesize that the time scales of fast excitation and fast and slow inhibition present in these networks may be the essential element underlying this similar behavior, and design an idealized, conductance-based integrate-and-fire model to verify this hypothesis via numerical simulations. To better understand the mathematical structure underlying the common dynamical behavior across species, we derive a firing-rate model and use it to extract a slow passage through a saddle-node-on-an-invariant-circle bifurcation structure. We expect this bifurcation structure to provide new insights into the understanding of the dynamical behavior of neuronal assemblies and that a similar structure can be found in other sensory systems.

Indexed as

Antennal lobeFiring-rate modelGamma-band oscillationsInsect olfactionIntegrate-and-fire modelSaddle-node-on-an-invariant-circle bifurcationSlow firing-rate patternsTemporal binding

Identifiers

PMID33786083
PMCPMC7947141
OpenAlexW3119454144

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.