Evidence map›Paper›PMID 28664220›Full record

ArticleJournal of mathematical biology2018

Minimal time spiking in various ChR2-controlled neuron models.

Vincent Renault, Michèle Thieullen, Emmanuel Trélat

Abstract read
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In one paragraph

Article in Journal of mathematical biology, 2018. 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
–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

1 citing paper in PubMed.

  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

3 authors.

Vincent RenaultLaboratoire de Probabilités et Modèles Aléatoires, CNRS UMR 7599, Sorbonne Universités, UPMC Univ Paris 06, 75005, Paris, France. vincent.renault7@gmail.com.ORCID 0000-0001-7838-7215
Michèle ThieullenLaboratoire de Probabilités et Modèles Aléatoires, CNRS UMR 7599, Sorbonne Universités, UPMC Univ Paris 06, 75005, Paris, France.
Emmanuel TrélatLaboratoire Jacques-Louis Lions, CNRS UMR 7598, Institut Universitaire de France, Sorbonne Universités, UPMC Univ Paris 06, 75005, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We use conductance based neuron models, and the mathematical modeling of optogenetics to define controlled neuron models and we address the minimal time control of these affine systems for the first spike from equilibrium. We apply tools of geometric optimal control theory to study singular extremals, and we implement a direct method to compute optimal controls. When the system is too large to theoretically investigate the existence of singular optimal controls, we observe numerically the optimal bang-bang controls.

Indexed as

Models, NeurologicalAction PotentialsAnimalsChannelrhodopsinsComputational BiologyMathematical ConceptsNeural ConductionNeuronsOptogeneticsChannelrhodopsinsConductance-based neuron modelsMinimal time affine controlOptimal controlOptogeneticsSingular extremals

Identifiers

PMID28664220

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.