Spike-threshold adaptation predicted by membrane potential dynamics in vivo.

Neurons encode information in sequences of spikes, which are triggered when their membrane potential crosses a threshold. In vivo, the spiking threshold displays large variability suggesting that threshold dynamics have a profound influence on how the combined input of a neuron is encoded in the spi...

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Auteurs principaux: Bertrand Fontaine, José Luis Peña, Romain Brette
Format: article
Langue:EN
Publié: Public Library of Science (PLoS) 2014
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Accès en ligne:https://doaj.org/article/0b944c9311c74a3a829ab5662228b199
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spelling oai:doaj.org-article:0b944c9311c74a3a829ab5662228b1992021-11-18T05:52:59ZSpike-threshold adaptation predicted by membrane potential dynamics in vivo.1553-734X1553-735810.1371/journal.pcbi.1003560https://doaj.org/article/0b944c9311c74a3a829ab5662228b1992014-04-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24722397/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Neurons encode information in sequences of spikes, which are triggered when their membrane potential crosses a threshold. In vivo, the spiking threshold displays large variability suggesting that threshold dynamics have a profound influence on how the combined input of a neuron is encoded in the spiking. Threshold variability could be explained by adaptation to the membrane potential. However, it could also be the case that most threshold variability reflects noise and processes other than threshold adaptation. Here, we investigated threshold variation in auditory neurons responses recorded in vivo in barn owls. We found that spike threshold is quantitatively predicted by a model in which the threshold adapts, tracking the membrane potential at a short timescale. As a result, in these neurons, slow voltage fluctuations do not contribute to spiking because they are filtered by threshold adaptation. More importantly, these neurons can only respond to input spikes arriving together on a millisecond timescale. These results demonstrate that fast adaptation to the membrane potential captures spike threshold variability in vivo.Bertrand FontaineJosé Luis PeñaRomain BrettePublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 10, Iss 4, p e1003560 (2014)
institution DOAJ
collection DOAJ
language EN
topic Biology (General)
QH301-705.5
spellingShingle Biology (General)
QH301-705.5
Bertrand Fontaine
José Luis Peña
Romain Brette
Spike-threshold adaptation predicted by membrane potential dynamics in vivo.
description Neurons encode information in sequences of spikes, which are triggered when their membrane potential crosses a threshold. In vivo, the spiking threshold displays large variability suggesting that threshold dynamics have a profound influence on how the combined input of a neuron is encoded in the spiking. Threshold variability could be explained by adaptation to the membrane potential. However, it could also be the case that most threshold variability reflects noise and processes other than threshold adaptation. Here, we investigated threshold variation in auditory neurons responses recorded in vivo in barn owls. We found that spike threshold is quantitatively predicted by a model in which the threshold adapts, tracking the membrane potential at a short timescale. As a result, in these neurons, slow voltage fluctuations do not contribute to spiking because they are filtered by threshold adaptation. More importantly, these neurons can only respond to input spikes arriving together on a millisecond timescale. These results demonstrate that fast adaptation to the membrane potential captures spike threshold variability in vivo.
format article
author Bertrand Fontaine
José Luis Peña
Romain Brette
author_facet Bertrand Fontaine
José Luis Peña
Romain Brette
author_sort Bertrand Fontaine
title Spike-threshold adaptation predicted by membrane potential dynamics in vivo.
title_short Spike-threshold adaptation predicted by membrane potential dynamics in vivo.
title_full Spike-threshold adaptation predicted by membrane potential dynamics in vivo.
title_fullStr Spike-threshold adaptation predicted by membrane potential dynamics in vivo.
title_full_unstemmed Spike-threshold adaptation predicted by membrane potential dynamics in vivo.
title_sort spike-threshold adaptation predicted by membrane potential dynamics in vivo.
publisher Public Library of Science (PLoS)
publishDate 2014
url https://doaj.org/article/0b944c9311c74a3a829ab5662228b199
work_keys_str_mv AT bertrandfontaine spikethresholdadaptationpredictedbymembranepotentialdynamicsinvivo
AT joseluispena spikethresholdadaptationpredictedbymembranepotentialdynamicsinvivo
AT romainbrette spikethresholdadaptationpredictedbymembranepotentialdynamicsinvivo
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