Literature DB >> 10634870

Optimization of rhythmic behaviors by modulation of the neuromuscular transform.

V Brezina1, I V Orekhova, K R Weiss.   

Abstract

We conclude our study of the properties and the functional role of the neuromuscular transform (NMT). The NMT is an input-output relation that formalizes the processes by which patterns of motor neuron firing are transformed to muscle contractions. Because the NMT acts as a dynamic, nonlinear, and modifiable filter, the transformation is complex. In the two preceding papers we developed a framework for analysis of the NMT and identified with it principles by which the NMT transforms different firing patterns to contractions. We then saw that, with fixed properties, the NMT significantly constrains the production of functional behavior. Many desirable behaviors are not possible with any firing pattern. Here we examine, theoretically as well as experimentally in the accessory radula closer (ARC) neuromuscular system of Aplysia, how this constraint is alleviated by making the properties of the NMT variable by neuromuscular plasticity and modulation. These processes dynamically tune the properties of the NMT to match the desired behavior, expanding the range of behaviors that can be produced. For specific illustration, we continue to focus on the relation between the speed of the NMT and the speed of cyclical, rhythmic behavior. Our analytic framework emphasizes the functional distinction between intrinsic plasticity or modulation of the NMT, dependent, like the contraction itself, on the motor neuron firing pattern, and extrinsic modulation, independent of it. The former is well suited to automatically optimizing the performance of a single behavior; the latter, to multiplying contraction shapes for multiple behaviors. In any case, to alleviate the constraint of the NMT, the plasticity and modulation must be peripheral. Such processes are likely to play a critical role wherever the nervous system must command, through the constraint of the NMT, a broad range of functional behaviors.

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Year:  2000        PMID: 10634870     DOI: 10.1152/jn.2000.83.1.260

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  16 in total

1.  Related neuropeptides use different balances of unitary mechanisms to modulate the cardiac neuromuscular system in the American lobster, Homarus americanus.

Authors:  Patsy S Dickinson; Andrew Calkins; Jake S Stevens
Journal:  J Neurophysiol       Date:  2014-11-12       Impact factor: 2.714

Review 2.  Crustacean neuropeptides.

Authors:  Andrew E Christie; Elizabeth A Stemmler; Patsy S Dickinson
Journal:  Cell Mol Life Sci       Date:  2010-08-21       Impact factor: 9.261

3.  Variability of swallowing performance in intact, freely feeding aplysia.

Authors:  Cecilia S Lum; Yuriy Zhurov; Elizabeth C Cropper; Klaudiusz R Weiss; Vladimir Brezina
Journal:  J Neurophysiol       Date:  2005-06-08       Impact factor: 2.714

4.  Temperature compensation of neuromuscular modulation in aplysia.

Authors:  Yuriy Zhurov; Vladimir Brezina
Journal:  J Neurophysiol       Date:  2005-06-08       Impact factor: 2.714

5.  Mechanical reconfiguration mediates swallowing and rejection in Aplysia californica.

Authors:  Valerie A Novakovic; Gregory P Sutton; David M Neustadter; Randall D Beer; Hillel J Chiel
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2006-04-04       Impact factor: 1.836

6.  Muscle anatomy is a primary determinant of muscle relaxation dynamics in the lobster (Panulirus interruptus) stomatogastric system.

Authors:  Jeffrey B Thuma; Patricia I Harness; Thomas J Koehnle; Lee G Morris; Scott L Hooper
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2007-08-21       Impact factor: 1.836

7.  The neuromuscular transform of the lobster cardiac system explains the opposing effects of a neuromodulator on muscle output.

Authors:  Alex H Williams; Andrew Calkins; Timothy O'Leary; Renee Symonds; Eve Marder; Patsy S Dickinson
Journal:  J Neurosci       Date:  2013-10-16       Impact factor: 6.167

8.  Decoding modulation of the neuromuscular transform.

Authors:  Estee Stern; Timothy J Fort; Mark W Miller; Charles S Peskin; Vladimir Brezina
Journal:  Neurocomputing       Date:  2007-06-01       Impact factor: 5.719

9.  The neuromuscular transform in a single segment of a segmented heart tube.

Authors:  Angela Wenning; Young Rim Chang; Brian J Norris; Ronald L Calabrese
Journal:  J Neurophysiol       Date:  2020-08-05       Impact factor: 2.714

Review 10.  Neuromodulation of neuronal circuits: back to the future.

Authors:  Eve Marder
Journal:  Neuron       Date:  2012-10-04       Impact factor: 17.173

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