Evidence map›Paper›PMID 36824890›Full record

ArticlebioRxiv : the preprint server for biology2023

Restructuring of olfactory representations in the fly brain around odor relationships in natural sources.

Jie-Yoon Yang, Thomas F O'Connell, Wei-Mien M Hsu, Matthew S Bauer, Kristina V Dylla, Tatyana O Sharpee, Elizabeth J Hong

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 19 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 2 institutions in 1 country.

Jie-Yoon YangThese authors contributed equally.
Thomas F O'ConnellThese authors contributed equally.
Wei-Mien M HsuComputational Neurobiology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA; Department of Physics, University of California, San Diego, La Jolla, CA, USA.
Matthew S BauerDivision of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
Kristina V DyllaDivision of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
Tatyana O SharpeeComputational Neurobiology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA; Department of Physics, University of California, San Diego, La Jolla, CA, USA.
Elizabeth J HongDivision of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
California Institute of Technology · USSalk Institute for Biological Studies · US

Funding

TRACT: A TOOL TO INVESTIGATE BRAIN CONNECTIVITY AND TO GENETICALLY MANIPULATE NEURONS CONNECTED BY SYNAPSESRF1MH117825 · NIMH · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI HONG, ELIZABETH JENNIFER, LOIS, CARLOS · 2018 to 2018
$2.6M
NIMH NIH HHS RF1 MH117825
6 · The paper itself

Abstract

A core challenge of olfactory neuroscience is to understand how neural representations of odor are generated and progressively transformed across different layers of the olfactory circuit into formats that support perception and behavior. The encoding of odor by odorant receptors in the input layer of the olfactory system reflects, at least in part, the chemical relationships between odor compounds. Neural representations of odor in higher order associative olfactory areas, generated by random feedforward networks, are expected to largely preserve these input odor relationships

Identifiers

PMID36824890
PMCPMC9949042
OpenAlexW4320888385

What OpenQuestion 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 OpenQuestion graph.