Evidence map›Paper›PMID 27974743›Full record

ArticleScientific reports2016

High-order synchronization of hair cell bundles.

Michael Levy, Adrian Molzon, Jae-Hyun Lee, Ji-Wook Kim, Jinwoo Cheon, Dolores Bozovic

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Michael LevyDepartment of Physics and Astronomy, California NanoSystems Institute, University of California, Los Angeles, California 90095, United States.
Adrian MolzonDepartment of Physics and Astronomy, California NanoSystems Institute, University of California, Los Angeles, California 90095, United States.
Jae-Hyun LeeCenter for Nanomedicine, Institute for Basic Science (IBS), Seoul 03722, Republic of Korea.
Ji-Wook KimCenter for Nanomedicine, Institute for Basic Science (IBS), Seoul 03722, Republic of Korea.
Jinwoo CheonCenter for Nanomedicine, Institute for Basic Science (IBS), Seoul 03722, Republic of Korea.
Dolores BozovicDepartment of Physics and Astronomy, California NanoSystems Institute, University of California, Los Angeles, California 90095, United States.

Funding

Nonlinear dynamics and coding in auditory and vestibular systemsR21DC015035 · NIDCD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BOZOVIC, DOLORES · 2016 to 2017
$367k
NIDCD NIH HHS R21 DC015035
6 · The paper itself

Abstract

Auditory and vestibular hair cell bundles exhibit active mechanical oscillations at natural frequencies that are typically lower than the detection range of the corresponding end organs. We explore how these noisy nonlinear oscillators mode-lock to frequencies higher than their internal clocks. A nanomagnetic technique is used to stimulate the bundles without an imposed mechanical load. The evoked response shows regimes of high-order mode-locking. Exploring a broad range of stimulus frequencies and intensities, we observe regions of high-order synchronization, analogous to Arnold Tongues in dynamical systems literature. Significant areas of overlap occur between synchronization regimes, with the bundle intermittently flickering between different winding numbers. We demonstrate how an ensemble of these noisy spontaneous oscillators could be entrained to efficiently detect signals significantly above the characteristic frequencies of the individual cells.

Indexed as

AnimalsHair Cells, AuditoryHair Cells, VestibularMagnetic PhenomenaMechanotransduction, CellularNanotechnologyRana catesbeiana

Identifiers

PMID27974743
PMCPMC5156917

What OpenQuestion holds

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LicenceCC BY
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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.