Evidence map›Paper›PMID 24403159›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2014

Can simple rules control development of a pioneer vertebrate neuronal network generating behavior?

Alan Roberts, Deborah Conte, Mike Hull, Robert Merrison-Hort, Abul Kalam al Azad, Edgar Buhl, Roman Borisyuk, Stephen R Soffe

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Mechanisms Underlying the Recruitment of Inhibitory Interneurons in Fictive Swimming in DevelopingThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  5. Article
  6. Mathematical models of neuronal growth.Biomechanics and modeling in mechanobiology · 2022
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Behavioral Role of the Reciprocal Inhibition between a Pair of Mauthner Cells during Fast Escapes in Zebrafish.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Generative models for network neuroscience: prospects and promise.Journal of the Royal Society, Interface · 2017
    Review
  19. Article
  20. Motor Neurons Tune Premotor Activity in a Vertebrate Central Pattern Generator.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017
    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

8 authors.

Alan RobertsSchool of Biological Sciences, University of Bristol, Bristol, BS8 1UG, United Kingdom, School of Computing and Mathematics, University of Plymouth, Plymouth, PL4 8AA, United Kingdom, and Institute for Adaptive and Neural Computation, University of Edinburgh, Edinburgh, EH8 9AB, United Kingdom.
Deborah Conte
Mike Hull
Robert Merrison-Hort
Abul Kalam al Azad
Edgar Buhl
Roman Borisyuk
Stephen R Soffe

Funding

Biotechnology and Biological Sciences Research Council BB/G006369/1Biotechnology and Biological Sciences Research Council BB/G006652/1
6 · The paper itself

Abstract

How do the pioneer networks in the axial core of the vertebrate nervous system first develop? Fundamental to understanding any full-scale neuronal network is knowledge of the constituent neurons, their properties, synaptic interconnections, and normal activity. Our novel strategy uses basic developmental rules to generate model networks that retain individual neuron and synapse resolution and are capable of reproducing correct, whole animal responses. We apply our developmental strategy to young Xenopus tadpoles, whose brainstem and spinal cord share a core vertebrate plan, but at a tractable complexity. Following detailed anatomical and physiological measurements to complete a descriptive library of each type of spinal neuron, we build models of their axon growth controlled by simple chemical gradients and physical barriers. By adding dendrites and allowing probabilistic formation of synaptic connections, we reconstruct network connectivity among up to 2000 neurons. When the resulting "network" is populated by model neurons and synapses, with properties based on physiology, it can respond to sensory stimulation by mimicking tadpole swimming behavior. This functioning model represents the most complete reconstruction of a vertebrate neuronal network that can reproduce the complex, rhythmic behavior of a whole animal. The findings validate our novel developmental strategy for generating realistic networks with individual neuron- and synapse-level resolution. We use it to demonstrate how early functional neuronal connectivity and behavior may in life result from simple developmental "rules," which lay out a scaffold for the vertebrate CNS without specific neuron-to-neuron recognition.

Indexed as

Neural Networks, ComputerAnimalsNeurogenesisXenopusaxon guidancegrowth conelocomotionrhythmsXenopus

Identifiers

PMID24403159
PMCPMC3870938

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.