Evidence map›Paper›PMID 22282726›Full record

ArticleJournal of mathematical neuroscience2011

Spontaneous voltage oscillations and response dynamics of a Hodgkin-Huxley type model of sensory hair cells.

Alexander B Neiman, Kai Dierkes, Benjamin Lindner, Lijuan Han, Andrey L Shilnikov

Open access · bronzeAbstract read
In one paragraph

Article in Journal of mathematical neuroscience, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Review of chaos in hair-cell dynamics.Frontiers in neurology · 2024
    Review
  3. Article
  4. Article
  5. Article
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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 3 countries.

Alexander B NeimanDepartment of Physics and Astronomy, Neuroscience Program, Ohio University, Athens, Ohio 45701, USA.
Kai Dierkes
Benjamin Lindner
Lijuan Han
Andrey L Shilnikov
Max Planck Institute for the Physics of Complex Systems · DEBeijing Institute of Technology · CNGeorgia State University · USOhio University · US

Funding

Mechanisms of signaling in otoconial organsR01DC005063 · NIDCD · OHIO UNIVERSITY ATHENS · PI PETERSON, ELLENGENE H · 2001 to 2011
$5.4M
NIDCD NIH HHS R01 DC005063
6 · The paper itself

Abstract

We employ a Hodgkin-Huxley type model of basolateral ionic currents in bullfrog saccular hair cells to study the genesis of spontaneous voltage oscillations and their role in shaping the response of the hair cell to external mechanical stimuli. Consistent with recent experimental reports, we find that the spontaneous dynamics of the model can be categorized using conductance parameters of calcium activated potassium, inward rectifier potassium, and mechano-electrical transduction ionic currents. The model is demonstrated to exhibit a broad spectrum of autonomous rhythmic activity, including periodic and quasiperiodic oscillations with two independent frequencies as well as various regular and chaotic bursting patterns. Complex patterns of spontaneous oscillations in the model emerge at small values of the conductance of Ca(2+) activated potassium currents. These patterns are significantly affected by thermal fluctuations of the mechano-electrical transduction current. We show that self-sustained regular voltage oscillations lead to enhanced and sharply tuned sensitivity of the hair cell to weak mechanical periodic stimuli. While regimes of chaotic oscillations are argued to result in poor tuning to sinusoidal driving, chaotically oscillating cells do provide a high sensitivity to low-frequency variations of external stimuli.

Identifiers

PMID22282726
PMCPMC3265390
OpenAlexW2156960608

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.