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Neuronal Population Activity in Spinal Motor Circuits: Greater Than the Sum of Its Parts

The core elements of stereotypical movements such as locomotion, scratching and breathing are generated by networks in the lower brainstem and the spinal cord. Ensemble activities in spinal motor networks had until recently been merely a black box, but with the emergence of ultra-thin Silicon multi-...

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Autor principal: Berg, Rune W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5742103/
https://www.ncbi.nlm.nih.gov/pubmed/29311842
http://dx.doi.org/10.3389/fncir.2017.00103
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author Berg, Rune W.
author_facet Berg, Rune W.
author_sort Berg, Rune W.
collection PubMed
description The core elements of stereotypical movements such as locomotion, scratching and breathing are generated by networks in the lower brainstem and the spinal cord. Ensemble activities in spinal motor networks had until recently been merely a black box, but with the emergence of ultra-thin Silicon multi-electrode technology it was possible to reveal the spiking activity of larger parts of the network. A series of experiments revealed unexpected features of spinal networks, such as multiple spiking regimes and lognormal firing rate distributions. The lognormality renders the widespread idea of a typical firing rate ± standard deviation an ill-suited description, and therefore these findings define a new arithmetic of motor networks. Focusing on the population activity behind motor pattern generation this review summarizes this advance and discusses its implications.
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spelling pubmed-57421032018-01-08 Neuronal Population Activity in Spinal Motor Circuits: Greater Than the Sum of Its Parts Berg, Rune W. Front Neural Circuits Neuroscience The core elements of stereotypical movements such as locomotion, scratching and breathing are generated by networks in the lower brainstem and the spinal cord. Ensemble activities in spinal motor networks had until recently been merely a black box, but with the emergence of ultra-thin Silicon multi-electrode technology it was possible to reveal the spiking activity of larger parts of the network. A series of experiments revealed unexpected features of spinal networks, such as multiple spiking regimes and lognormal firing rate distributions. The lognormality renders the widespread idea of a typical firing rate ± standard deviation an ill-suited description, and therefore these findings define a new arithmetic of motor networks. Focusing on the population activity behind motor pattern generation this review summarizes this advance and discusses its implications. Frontiers Media S.A. 2017-12-19 /pmc/articles/PMC5742103/ /pubmed/29311842 http://dx.doi.org/10.3389/fncir.2017.00103 Text en Copyright © 2017 Berg. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Berg, Rune W.
Neuronal Population Activity in Spinal Motor Circuits: Greater Than the Sum of Its Parts
title Neuronal Population Activity in Spinal Motor Circuits: Greater Than the Sum of Its Parts
title_full Neuronal Population Activity in Spinal Motor Circuits: Greater Than the Sum of Its Parts
title_fullStr Neuronal Population Activity in Spinal Motor Circuits: Greater Than the Sum of Its Parts
title_full_unstemmed Neuronal Population Activity in Spinal Motor Circuits: Greater Than the Sum of Its Parts
title_short Neuronal Population Activity in Spinal Motor Circuits: Greater Than the Sum of Its Parts
title_sort neuronal population activity in spinal motor circuits: greater than the sum of its parts
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5742103/
https://www.ncbi.nlm.nih.gov/pubmed/29311842
http://dx.doi.org/10.3389/fncir.2017.00103
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