ReviewIntegrative and comparative biology2011
Coping with variability in small neuronal networks.
Review in Integrative and comparative biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 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.
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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
31 citing papers in PubMed, 53 citations in OpenAlex.
- When can neuronal activity-dependent homeostatic plasticity maintain circuit-level properties?Journal of computational neuroscience · 2026Article
- Morphological details contribute to neuronal response variability within the same cell type.Frontiers in cellular neuroscience · 2026Article
- Error Function Optimization to Compare Neural Activity and Train Blended Rhythmic Networks.Brain sciences · 2024Article
- Modulation by Neuropeptides with Overlapping Targets Results in Functional Overlap in Oscillatory Circuit Activation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Article
- Training spiking neuronal networks to perform motor control using reinforcement and evolutionary learning.Frontiers in computational neuroscience · 2022Article
- Initial Variability and Time-Dependent Changes of Neuronal Response Features Are Cell-Type-Specific.Frontiers in cellular neuroscience · 2022Article
- Circuit Stability to Perturbations Reveals Hidden Variability in the Balance of Intrinsic and Synaptic Conductances.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- Article
- PredPsych: A toolbox for predictive machine learning-based approach in experimental psychology research.Behavior research methods · 2018Article
- Sloppy morphological tuning in identified neurons of the crustacean stomatogastric ganglion.eLife · 2017Article
- When complex neuronal structures may not matter.eLife · 2017Article
- Consequences of degeneracy in network function.Current opinion in neurobiology · 2016Review
- Convergent neuromodulation onto a network neuron can have divergent effects at the network level.Journal of computational neuroscience · 2016Article
- Control strategies of 3-cell Central Pattern Generator via global stimuli.Scientific reports · 2016Article
- Article
- Biodiversity Meets Neuroscience: From the Sequencing Ship (Ship-Seq) to Deciphering Parallel Evolution of Neural Systems in Omic's Era.Integrative and comparative biology · 2015Review
- Neuromechanical principles underlying movement modularity and their implications for rehabilitation.Neuron · 2015Review
- Robust circuit rhythms in small circuits arise from variable circuit components and mechanisms.Current opinion in neurobiology · 2015Review
- Motor neuronal activity varies least among individuals when it matters most for behavior.Journal of neurophysiology · 2015Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Experimental and corresponding modeling studies indicate that there is a 2- to 5-fold variation of intrinsic and synaptic parameters across animals while functional output is maintained. Here, we review experiments, using the heartbeat central pattern generator (CPG) in medicinal leeches, which explore the consequences of animal-to-animal variation in synaptic strength for coordinated motor output. We focus on a set of segmental heart motor neurons that all receive inhibitory synaptic input from the same four premotor interneurons. These four premotor inputs fire in a phase progression and the motor neurons also fire in a phase progression because of differences in synaptic strength profiles of the four inputs among segments. Our work tested the hypothesis that functional output is maintained in the face of animal-to-animal variation in the absolute strength of connections because relative strengths of the four inputs onto particular motor neurons is maintained across animals. Our experiments showed that relative strength is not strictly maintained across animals even as functional output is maintained, and animal-to-animal variations in strength of particular inputs do not correlate strongly with output phase. Further experiments measured the precise temporal pattern of the premotor inputs, the segmental synaptic strength profiles of their connections onto motor neurons, and the temporal pattern (phase progression) of those motor neurons all in the same animal for a series of 12 animals. The analysis of input and output in this sample of 12 individuals suggests that the number (four) of inputs to each motor neuron and the variability of the temporal pattern of input from the CPG across individuals weaken the influence of the strength of individual inputs. Moreover, the temporal pattern of the output varies as much across individuals as that of the input. Essentially, each animal arrives at a unique solution for how the network produces functional output.
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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.