ArticleeLife2018
Structural and functional properties of a probabilistic model of neuronal connectivity in a simple locomotor network.
Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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.
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Who cites it
9 citing papers in PubMed.
- Balancing central control and sensory feedback produces adaptable and robust locomotor patterns in a spiking, neuromechanical model of the salamander spinal cord.PLoS computational biology · 2025Article
- Mechanisms Underlying the Recruitment of Inhibitory Interneurons in Fictive Swimming in DevelopingThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Locomotion-induced ocular motor behavior in larval Xenopus is developmentally tuned by visuo-vestibular reflexes.Nature communications · 2022Article
- From decision to action: Detailed modelling of frog tadpoles reveals neuronal mechanisms of decision-making and reproduces unpredictable swimming movements in response to sensory signals.PLoS computational biology · 2021Article
- Article
- Networks of random trees as a model of neuronal connectivity.Journal of mathematical biology · 2019Article
- The decision to move: response times, neuronal circuits and sensory memory in a simple vertebrate.Proceedings. Biological sciences · 2019Review
- Cross-Frequency Coupling in Descending Motor Pathways: Theory and Simulation.Frontiers in systems neuroscience · 2019Article
- Bifurcations of Limit Cycles in a Reduced Model of the Xenopus Tadpole Central Pattern Generator.Journal of mathematical neuroscience · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Although, in most animals, brain connectivity varies between individuals, behaviour is often similar across a species. What fundamental structural properties are shared across individual networks that define this behaviour? We describe a probabilistic model of connectivity in the hatchling Xenopus tadpole spinal cord which, when combined with a spiking model, reliably produces rhythmic activity corresponding to swimming. The probabilistic model allows calculation of structural characteristics that reflect common network properties, independent of individual network realisations. We use the structural characteristics to study examples of neuronal dynamics, in the complete network and various sub-networks, and this allows us to explain the basis for key experimental findings, and make predictions for experiments. We also study how structural and functional features differ between detailed anatomical connectomes and those generated by our new, simpler, model (meta-model).
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Registered trials
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.