ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2006
Complexities and uncertainties of neuronal network function.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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.
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.
Who cites it
21 citing papers in PubMed.
- Neurobiological reduction: From cellular explanations of behavior to interventions.Frontiers in psychology · 2022Review
- Two views on the cognitive brain.Nature reviews. Neuroscience · 2021Review
- General Principles of Neuronal Co-transmission: Insights From Multiple Model Systems.Frontiers in neural circuits · 2018Review
- Kuhnian revolutions in neuroscience: the role of tool development.Biology & philosophy · 2018Article
- The Lesioned Spinal Cord Is a "New" Spinal Cord: Evidence from Functional Changes after Spinal Injury in Lamprey.Frontiers in neural circuits · 2017Review
- Anatomical recovery of the spinal glutamatergic system following a complete spinal cord injury in lampreys.Scientific reports · 2016Article
- Short-Term Synaptic Plasticity at Interneuronal Synapses Could Sculpt Rhythmic Motor Patterns.Frontiers in neural circuits · 2016Article
- The generation of antiphase oscillations and synchrony by a rebound-based vertebrate central pattern generator.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2014Article
- The role of mechanical resonance in the neural control of swimming in fishes.Zoology (Jena, Germany) · 2014Review
- Changes in functional properties and 5-HT modulation above and below a spinal transection in lamprey.Frontiers in neural circuits · 2014Article
- Dynamic systems approaches and levels of analysis in the nervous system.Frontiers in physiology · 2013Article
- Flexibility in the patterning and control of axial locomotor networks in lamprey.Integrative and comparative biology · 2011Review
- Article
- Shining light into the black box of spinal locomotor networks.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2010Article
- Neuronal network analyses: premises, promises and uncertainties.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2010Review
- Resting state networks in human cervical spinal cord observed with fMRI.European journal of applied physiology · 2010Article
- Exciting times in the tadpole spinal cord.The Journal of physiology · 2009Article
- Electrical stimulation therapies for CNS disorders and pain are mediated by competition between different neuronal networks in the brain.Medical hypotheses · 2008Article
- On the derivation and tuning of phase oscillator models for lamprey central pattern generators.Journal of computational neuroscience · 2008Article
- The function of intersegmental connections in determining temporal characteristics of the spinal cord rhythmic output.Neuroscience · 2007Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
The nervous system generates behaviours through the activity in groups of neurons assembled into networks. Understanding these networks is thus essential to our understanding of nervous system function. Understanding a network requires information on its component cells, their interactions and their functional properties. Few networks come close to providing complete information on these aspects. However, even if complete information were available it would still only provide limited insight into network function. This is because the functional and structural properties of a network are not fixed but are plastic and can change over time. The number of interacting network components, their (variable) functional properties, and various plasticity mechanisms endows networks with considerable flexibility, but these features inevitably complicate network analyses. This review will initially discuss the general approaches and problems of network analyses. It will then examine the success of these analyses in a model spinal cord locomotor network in the lamprey, to determine to what extent in this relatively simple vertebrate system it is possible to claim detailed understanding of network function and plasticity.
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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.