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Support for a synaptic chain model of neuronal sequence generation

In songbirds, the remarkable temporal precision of song is generated by a sparse sequence of bursts in the premotor nucleus HVC (proper name). To distinguish between two possible classes of models of neural sequence generation, we carried out intracellular recordings of HVC neurons in singing birds....

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Detalles Bibliográficos
Autores principales: Long, Michael A., Jin, Dezhe Z., Fee, Michale S.
Formato: Texto
Lenguaje:English
Publicado: 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2998755/
https://www.ncbi.nlm.nih.gov/pubmed/20972420
http://dx.doi.org/10.1038/nature09514
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author Long, Michael A.
Jin, Dezhe Z.
Fee, Michale S.
author_facet Long, Michael A.
Jin, Dezhe Z.
Fee, Michale S.
author_sort Long, Michael A.
collection PubMed
description In songbirds, the remarkable temporal precision of song is generated by a sparse sequence of bursts in the premotor nucleus HVC (proper name). To distinguish between two possible classes of models of neural sequence generation, we carried out intracellular recordings of HVC neurons in singing birds. We found that the subthreshold membrane potential is characterized by a large rapid depolarization 5–10 ms prior to burst onset, consistent with a synaptically-connected chain of neurons in HVC. We found no evidence for the slow membrane potential modulation predicted by models in which burst timing is controlled by subthreshold dynamics. Furthermore, bursts ride on an underlying depolarization of ~10ms duration, likely the result of a regenerative calcium spike within HVC neurons that could facilitate the propagation of activity through a chain network with high temporal precision. Our results shed light on the fundamental mechanisms by which neural circuits can generate complex sequential behaviours.
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spelling pubmed-29987552011-05-18 Support for a synaptic chain model of neuronal sequence generation Long, Michael A. Jin, Dezhe Z. Fee, Michale S. Nature Article In songbirds, the remarkable temporal precision of song is generated by a sparse sequence of bursts in the premotor nucleus HVC (proper name). To distinguish between two possible classes of models of neural sequence generation, we carried out intracellular recordings of HVC neurons in singing birds. We found that the subthreshold membrane potential is characterized by a large rapid depolarization 5–10 ms prior to burst onset, consistent with a synaptically-connected chain of neurons in HVC. We found no evidence for the slow membrane potential modulation predicted by models in which burst timing is controlled by subthreshold dynamics. Furthermore, bursts ride on an underlying depolarization of ~10ms duration, likely the result of a regenerative calcium spike within HVC neurons that could facilitate the propagation of activity through a chain network with high temporal precision. Our results shed light on the fundamental mechanisms by which neural circuits can generate complex sequential behaviours. 2010-10-24 2010-11-18 /pmc/articles/PMC2998755/ /pubmed/20972420 http://dx.doi.org/10.1038/nature09514 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Long, Michael A.
Jin, Dezhe Z.
Fee, Michale S.
Support for a synaptic chain model of neuronal sequence generation
title Support for a synaptic chain model of neuronal sequence generation
title_full Support for a synaptic chain model of neuronal sequence generation
title_fullStr Support for a synaptic chain model of neuronal sequence generation
title_full_unstemmed Support for a synaptic chain model of neuronal sequence generation
title_short Support for a synaptic chain model of neuronal sequence generation
title_sort support for a synaptic chain model of neuronal sequence generation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2998755/
https://www.ncbi.nlm.nih.gov/pubmed/20972420
http://dx.doi.org/10.1038/nature09514
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