Literature DB >> 9928316

Modeling of the spinal neuronal circuitry underlying locomotion in a lower vertebrate.

A Lansner1, J H Kotaleski, S Grillner.   

Abstract

The neural circuitry generating lamprey undulatory swimming is among the most accessible and best known of the vertebrate neuronal locomotor systems. It therefore serves as an experimental model for such systems. Modeling and computer simulation of this system was initiated at a point when a significant part of the network had been identified, although much detail was still lacking. The model has been further developed over 10 years in close interaction with experiments. The local burst generating circuitry is formed by ipsilateral excitatory neurons and crossed reciprocal inhibitory neurons. Early models also incorporated an off-switch lateral interneuron (L), the connectivity of which suggested it could contribute to burst termination at moderate to high bursting frequencies. Later examination of this model suggested, however, that the L interneuron was not of primary importance for burst termination, and this was later verified experimentally. Further, early models explained the effects of 5-HT on bursting frequency, spike frequency, and burst duration as being due to its modulatory action on the spike frequency adaptation of lamprey premotor interneurons. In current network models, accumulated adaptation is in addition the main burst terminating factor. Drive-related modulation of adaptation is explored as a mechanism for control of burst duration. This produces an adequate burst frequency range and a constant burst proportion within each cycle. It further allows for hemisegmental bursting, which has been observed experimentally. The local burst generator forms the basis of a network model of the distributed pattern generator that extends along the spinal cord. Phase constancy and flexibility of intersegmental coordination has been studied in such a simulated network. Current modeling work focuses on neuromodulator circuitry and action, network responses to input transients, how to model the intact versus an isolated piece of spinal cord, as well as on improving an earlier neuromechanical model of lamprey swimming.

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Year:  1998        PMID: 9928316     DOI: 10.1111/j.1749-6632.1998.tb09053.x

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  7 in total

1.  The requirement of presynaptic metabotropic glutamate receptors for the maintenance of locomotion.

Authors:  Michiko Takahashi; Simon Alford
Journal:  J Neurosci       Date:  2002-05-01       Impact factor: 6.167

2.  Fast and slow voltage-dependent dynamics of magnesium block in the NMDA receptor: the asymmetric trapping block model.

Authors:  Mariana Vargas-Caballero; Hugh P C Robinson
Journal:  J Neurosci       Date:  2004-07-07       Impact factor: 6.167

3.  Synaptic patterning of left-right alternation in a computational model of the rodent hindlimb central pattern generator.

Authors:  William Erik Sherwood; Ronald Harris-Warrick; John Guckenheimer
Journal:  J Comput Neurosci       Date:  2010-07-20       Impact factor: 1.621

Review 4.  Strategies for delineating spinal locomotor rhythm-generating networks and the possible role of Hb9 interneurones in rhythmogenesis.

Authors:  Robert M Brownstone; Jennifer M Wilson
Journal:  Brain Res Rev       Date:  2007-08-14

5.  NeuroMechFly, a neuromechanical model of adult Drosophila melanogaster.

Authors:  Shravan Tata Ramalingasetty; Pembe Gizem Özdil; Victor Lobato-Rios; Jonathan Arreguit; Auke Jan Ijspeert; Pavan Ramdya
Journal:  Nat Methods       Date:  2022-05-11       Impact factor: 28.547

Review 6.  Organization of the Mammalian Locomotor CPG: Review of Computational Model and Circuit Architectures Based on Genetically Identified Spinal Interneurons(1,2,3).

Authors:  Ilya A Rybak; Kimberly J Dougherty; Natalia A Shevtsova
Journal:  eNeuro       Date:  2015-09-22

7.  Dopaminergic and Cholinergic Modulation of Large Scale Networks in silico Using Snudda.

Authors:  Johanna Frost Nylen; Jarl Jacob Johannes Hjorth; Sten Grillner; Jeanette Hellgren Kotaleski
Journal:  Front Neural Circuits       Date:  2021-10-21       Impact factor: 3.492

  7 in total

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