Evidence map›Paper›PMID 22364687›Full record

ReviewCurrent opinion in neurobiology2012

Small is beautiful: models of small neuronal networks.

Damon G Lamb, Ronald L Calabrese

Abstract readReview
In one paragraph

Review in Current opinion in neurobiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. 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

2 authors.

Damon G LambEmory University, Department of Biology, Atlanta, GA 30322, United States.
Ronald L Calabrese

Funding

NEUROMODULATORY INFLUENCES ON MOTOR SYSTEMSR01NS024072 · NINDS · EMORY UNIVERSITY · PI CALABRESE, RONALD L · 1985 to 2011
$3.6M
Neuromodulatory Influences on Motor SystemsR56NS024072 · NINDS · EMORY UNIVERSITY · PI CALABRESE, RONALD L · 2013 to 2013
$386k
NINDS NIH HHS NS024072NINDS NIH HHS R01 NS024072NINDS NIH HHS R56 NS024072
6 · The paper itself

Abstract

Modeling has contributed a great deal to our understanding of how individual neurons and neuronal networks function. In this review, we focus on models of the small neuronal networks of invertebrates, especially rhythmically active CPG networks. Models have elucidated many aspects of these networks, from identifying key interacting membrane properties to pointing out gaps in our understanding, for example missing neurons. Even the complex CPGs of vertebrates, such as those that underlie respiration, have been reduced to small network models to great effect. Modeling of these networks spans from simplified models, which are amenable to mathematical analyses, to very complicated biophysical models. Some researchers have now adopted a population approach, where they generate and analyze many related models that differ in a few to several judiciously chosen free parameters; often these parameters show variability across animals and thus justify the approach. Models of small neuronal networks will continue to expand and refine our understanding of how neuronal networks in all animals program motor output, process sensory information and learn.

Indexed as

Models, NeurologicalAnimalsHumansNerve NetNeurons

Identifiers

PMID22364687
PMCPMC3817830

What OpenQuestion holds

Textmetadata
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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.