Evidence map›Paper›PMID 26074762›Full record

ArticleFrontiers in neuroscience2015

Optimal entrainment of heterogeneous noisy neurons.

Dan Wilson, Abbey B Holt, Theoden I Netoff, Jeff Moehlis

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Dan WilsonDepartment of Mechanical Engineering, University of California, Santa Barbara Santa Barbara, CA, USA.
Abbey B HoltGraduate Program in Neuroscience, University of Minnesota Minneapolis, MN, USA.
Theoden I NetoffGraduate Program in Neuroscience, University of Minnesota Minneapolis, MN, USA ; Department of Biomedical Engineering, University of Minnesota Minneapolis, MN, USA.
Jeff MoehlisDepartment of Mechanical Engineering, University of California, Santa Barbara Santa Barbara, CA, USA.

Funding

PREDOCTORAL TRAINING OF NEUROSCIENTISTST32GM008471 · NIGMS · UNIVERSITY OF MINNESOTA TWIN CITIES · PI EBNER, TIMOTHY J · 1993 to 2017
$4.9M
NIGMS NIH HHS T32 GM008471
6 · The paper itself

Abstract

We develop a methodology to design a stimulus optimized to entrain nonlinear, noisy limit cycle oscillators with uncertain properties. Conditions are derived which guarantee that the stimulus will entrain the oscillators despite these uncertainties. Using these conditions, we develop an energy optimal control strategy to design an efficient entraining stimulus and apply it to numerical models of noisy phase oscillators and to in vitro hippocampal neurons. In both instances, the optimal stimuli outperform other similar but suboptimal entraining stimuli. Because this control strategy explicitly accounts for both noise and inherent uncertainty of model parameters, it could have experimental relevance to neural circuits where robust spike timing plays an important role.

Indexed as

entrainmentnoisy neuronsnoisy oscillatorsoptimal control theoryuncertainty

Identifiers

PMID26074762
PMCPMC4448041

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.