Literature DB >> 21430165

Constancy and variability in the output of a central pattern generator.

Brian J Norris1, Angela Wenning, Terrence Michael Wright, Ronald L Calabrese.   

Abstract

Experimental and corresponding modeling studies have demonstrated a twofold to fivefold variation of intrinsic and synaptic parameters across animals, whereas functional output is maintained. These studies have led to the hypothesis that correlated, compensatory changes in particular parameters can at least partially explain the biological variability in parameters. Using the leech heartbeat central pattern generator (CPG), we selected three different segmental motor neurons that fire in a functional phase progression but receive input from the same four premotor interneurons. Previous work suggested that the phase progression arises because the pattern of relative strength of the four inputs varies systematically across the segmental motor neurons. Nevertheless, there was considerable animal-to-animal variation in the absolute strengths of these connections. We tested the hypothesis that functional output is maintained in the face of variation in the absolute strength of connections because relative strengths onto particular motor neurons are maintained. We found that relative strength is not strictly maintained across animals even as functional output is maintained, and animal-to-animal variations in relative strength of particular inputs do not correlate strongly with output phase. In parallel with this variation in synaptic strength, the firing phase of the premotor inputs to these motor neurons varies considerably across individuals. We conclude that the number (four) of inputs to each motor neuron, which each vary in strength, and the phase diversity of the temporal pattern of input from the CPG diminish the influence of individual inputs. We hypothesize that each animal arrives at a unique solution for how the network produces functional output.

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Year:  2011        PMID: 21430165      PMCID: PMC3071692          DOI: 10.1523/JNEUROSCI.5072-10.2011

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  22 in total

Review 1.  Neuronal control of leech behavior.

Authors:  William B Kristan; Ronald L Calabrese; W Otto Friesen
Journal:  Prog Neurobiol       Date:  2005-11-02       Impact factor: 11.685

Review 2.  Invertebrate central pattern generation moves along.

Authors:  Eve Marder; Dirk Bucher; David J Schulz; Adam L Taylor
Journal:  Curr Biol       Date:  2005-09-06       Impact factor: 10.834

Review 3.  Variability, compensation and homeostasis in neuron and network function.

Authors:  Eve Marder; Jean-Marc Goaillard
Journal:  Nat Rev Neurosci       Date:  2006-07       Impact factor: 34.870

4.  A central pattern generator producing alternative outputs: temporal pattern of premotor activity.

Authors:  Brian J Norris; Adam L Weaver; Lee G Morris; Angela Wenning; Paul A García; Ronald L Calabrese
Journal:  J Neurophysiol       Date:  2006-04-12       Impact factor: 2.714

5.  Quantitative expression profiling of identified neurons reveals cell-specific constraints on highly variable levels of gene expression.

Authors:  David J Schulz; Jean-Marc Goaillard; Eve E Marder
Journal:  Proc Natl Acad Sci U S A       Date:  2007-07-25       Impact factor: 11.205

6.  A central pattern generator producing alternative outputs: phase relations of leech heart motor neurons with respect to premotor synaptic input.

Authors:  Brian J Norris; Adam L Weaver; Angela Wenning; Paul S García; Ronald L Calabrese
Journal:  J Neurophysiol       Date:  2007-08-29       Impact factor: 2.714

7.  Using constraints on neuronal activity to reveal compensatory changes in neuronal parameters.

Authors:  Andrey V Olypher; Ronald L Calabrese
Journal:  J Neurophysiol       Date:  2007-09-12       Impact factor: 2.714

Review 8.  Computational exploration of neuron and neural network models in neurobiology.

Authors:  Astrid A Prinz
Journal:  Methods Mol Biol       Date:  2007

Review 9.  How tightly tuned are network parameters? Insight from computational and experimental studies in small rhythmic motor networks.

Authors:  Eve Marder; Anne-Elise Tobin; Rachel Grashow
Journal:  Prog Brain Res       Date:  2007       Impact factor: 2.453

10.  A central pattern generator producing alternative outputs: pattern, strength, and dynamics of premotor synaptic input to leech heart motor neurons.

Authors:  Brian J Norris; Adam L Weaver; Angela Wenning; Paul S García; Ronald L Calabrese
Journal:  J Neurophysiol       Date:  2007-09-05       Impact factor: 2.714

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  33 in total

1.  Animal-to-animal variability of connection strength in the leech heartbeat central pattern generator.

Authors:  Rebecca C Roffman; Brian J Norris; Ronald L Calabrese
Journal:  J Neurophysiol       Date:  2011-12-21       Impact factor: 2.714

2.  Pedaling time variability is increased in dropped riding position.

Authors:  Johnny Padulo; Roberto Di Capua; Davide Viggiano
Journal:  Eur J Appl Physiol       Date:  2011-12-20       Impact factor: 3.078

Review 3.  Animal-to-Animal Variability in Neuromodulation and Circuit Function.

Authors:  Albert W Hamood; Eve Marder
Journal:  Cold Spring Harb Symp Quant Biol       Date:  2015-04-15

4.  Centrally patterned rhythmic activity integrated by a peripheral circuit linking multiple oscillators.

Authors:  John Jellies; Daniel Kueh
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2012-05-11       Impact factor: 1.836

5.  Bringing up the rear: new premotor interneurons add regional complexity to a segmentally distributed motor pattern.

Authors:  Angela Wenning; Brian J Norris; Anca Doloc-Mihu; Ronald L Calabrese
Journal:  J Neurophysiol       Date:  2011-07-20       Impact factor: 2.714

Review 6.  Coping with variability in small neuronal networks.

Authors:  Ronald L Calabrese; Brian J Norris; Angela Wenning; Terrence M Wright
Journal:  Integr Comp Biol       Date:  2011-06-30       Impact factor: 3.326

7.  Contribution of motoneuron intrinsic properties to fictive motor pattern generation.

Authors:  Terrence M Wright; Ronald L Calabrese
Journal:  J Neurophysiol       Date:  2011-05-11       Impact factor: 2.714

8.  Ionic Current Variability and Functional Stability in the Nervous System.

Authors:  Jorge Golowasch
Journal:  Bioscience       Date:  2014-07       Impact factor: 8.589

9.  Activation mechanism of a neuromodulator-gated pacemaker ionic current.

Authors:  Michael Gray; Daniel H Daudelin; Jorge Golowasch
Journal:  J Neurophysiol       Date:  2017-04-26       Impact factor: 2.714

Review 10.  Computational models in the age of large datasets.

Authors:  Timothy O'Leary; Alexander C Sutton; Eve Marder
Journal:  Curr Opin Neurobiol       Date:  2015-01-29       Impact factor: 6.627

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