Literature DB >> 10634869

The neuromuscular transform constrains the production of functional rhythmic behaviors.

V Brezina1, K R Weiss.   

Abstract

We continue 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 preceding paper we developed a framework for analysis of the NMT and identified with it principles by which the NMT transforms different firing patterns to contractions. The ultimate question is functional, however. In sending different firing patterns through the NMT, the nervous system is seeking to command different functional behaviors, with specific contraction requirements. To what extent do the contractions that emerge from the NMT actually satisfy those requirements? In this paper we extend our analysis to address this issue. We define representative behavioral tasks and corresponding measures of performance, for a single neuromuscular unit, for two antagonistic units, and, in a real illustration, for the accessory radula closer (ARC)-opener neuromuscular system of Aplysia. We focus on cyclical, rhythmic behaviors which reveal the underlying principles particularly clearly. We find that, although every pattern of motor neuron firing produces some state of muscle contraction, only a few patterns produce functional behavior, and even fewer produce efficient functional behavior. The functional requirements thus dictate certain patterns to the nervous system. But many desirable functional behaviors are not possible with any pattern. We examine, in particular, how rhythmic behaviors degrade and disintegrate as the nervous system attempts to speed up their cycle frequency. This happens because, with fixed properties, the NMT produces only a limited range of contraction shapes that are kinetically well matched to the firing pattern only on certain time scales. Thus the properties of the NMT constrain and restrict the production of functional behaviors. In the following paper, we see how the constraint may be alleviated and the range of functional behaviors expanded by appropriately tuning the properties of the NMT through neuromuscular plasticity and modulation.

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Year:  2000        PMID: 10634869     DOI: 10.1152/jn.2000.83.1.232

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


  12 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.  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

5.  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

6.  Functional penetration of variability of motor neuron spike timing through a modulated neuromuscular system.

Authors:  Vladimir Brezina
Journal:  Neurocomputing       Date:  2007-06       Impact factor: 5.719

7.  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

8.  SIFamide peptides modulate cardiac activity differently in two species of Cancer crab.

Authors:  Patsy S Dickinson; Heidi M Samuel; Elizabeth A Stemmler; Andrew E Christie
Journal:  Gen Comp Endocrinol       Date:  2019-06-12       Impact factor: 2.822

9.  AMGSEFLamide, a member of a broadly conserved peptide family, modulates multiple neural networks in Homarus americanus.

Authors:  Patsy S Dickinson; Evyn S Dickinson; Emily R Oleisky; Cindy D Rivera; Meredith E Stanhope; Elizabeth A Stemmler; J Joe Hull; Andrew E Christie
Journal:  J Exp Biol       Date:  2019-01-18       Impact factor: 3.312

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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