Synaptic dynamics contribute to long-term single neuron response fluctuations

Firing rate variability at the single neuron level is characterized by long-memory processes and complex statistics over a wide range of time scales (from milliseconds up to several hours). Here, we focus on the contribution of non-stationary efficacy of the ensemble of synapses-activated in respons...

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Main Authors: Sebastian eReinartz, Istvan eBiro, Asaf eGal, Michele eGiugliano, Shimon eMarom
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-07-01
Series:Frontiers in Neural Circuits
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncir.2014.00071/full
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spelling doaj-e728d1a475e84dd397b45dc7ee1d5ca52020-11-24T23:05:14ZengFrontiers Media S.A.Frontiers in Neural Circuits1662-51102014-07-01810.3389/fncir.2014.0007187899Synaptic dynamics contribute to long-term single neuron response fluctuationsSebastian eReinartz0Sebastian eReinartz1Istvan eBiro2Asaf eGal3Asaf eGal4Michele eGiugliano5Michele eGiugliano6Michele eGiugliano7Shimon eMarom8Shimon eMarom9TechnionTechnionUniversity of AntwerpTechnionTechnionUniversity of AntwerpUniversity of SheffieldSwiss Federal Institute of Technology of LausanneTechnionTechnionFiring rate variability at the single neuron level is characterized by long-memory processes and complex statistics over a wide range of time scales (from milliseconds up to several hours). Here, we focus on the contribution of non-stationary efficacy of the ensemble of synapses-activated in response to a given stimulus-on single neuron response variability. We present and validate a method tailored for controlled and specific long-term activation of a single cortical neuron in vitro via synaptic or antidromic stimulation, enabling a clear separation between two determinants of neuronal response variability: membrane excitability dynamics vs. synaptic dynamics. Applying this method we show that, within the range of physiological activation frequencies, the synaptic ensemble of a given neuron is a key contributor to the neuronal response variability, long-memory processes and complex statistics observed over extended time scales. Synaptic transmission dynamics impact on response variability in stimulation rates that are substantially lower compared to stimulation rates that drive excitability resources to fluctuate. Implications to network embedded neurons are discussed.http://journal.frontiersin.org/Journal/10.3389/fncir.2014.00071/fullElectrical Stimulationmicroelectrode arraypatch clampsingle neuroncortical culturesynaptic dynamics
collection DOAJ
language English
format Article
sources DOAJ
author Sebastian eReinartz
Sebastian eReinartz
Istvan eBiro
Asaf eGal
Asaf eGal
Michele eGiugliano
Michele eGiugliano
Michele eGiugliano
Shimon eMarom
Shimon eMarom
spellingShingle Sebastian eReinartz
Sebastian eReinartz
Istvan eBiro
Asaf eGal
Asaf eGal
Michele eGiugliano
Michele eGiugliano
Michele eGiugliano
Shimon eMarom
Shimon eMarom
Synaptic dynamics contribute to long-term single neuron response fluctuations
Frontiers in Neural Circuits
Electrical Stimulation
microelectrode array
patch clamp
single neuron
cortical culture
synaptic dynamics
author_facet Sebastian eReinartz
Sebastian eReinartz
Istvan eBiro
Asaf eGal
Asaf eGal
Michele eGiugliano
Michele eGiugliano
Michele eGiugliano
Shimon eMarom
Shimon eMarom
author_sort Sebastian eReinartz
title Synaptic dynamics contribute to long-term single neuron response fluctuations
title_short Synaptic dynamics contribute to long-term single neuron response fluctuations
title_full Synaptic dynamics contribute to long-term single neuron response fluctuations
title_fullStr Synaptic dynamics contribute to long-term single neuron response fluctuations
title_full_unstemmed Synaptic dynamics contribute to long-term single neuron response fluctuations
title_sort synaptic dynamics contribute to long-term single neuron response fluctuations
publisher Frontiers Media S.A.
series Frontiers in Neural Circuits
issn 1662-5110
publishDate 2014-07-01
description Firing rate variability at the single neuron level is characterized by long-memory processes and complex statistics over a wide range of time scales (from milliseconds up to several hours). Here, we focus on the contribution of non-stationary efficacy of the ensemble of synapses-activated in response to a given stimulus-on single neuron response variability. We present and validate a method tailored for controlled and specific long-term activation of a single cortical neuron in vitro via synaptic or antidromic stimulation, enabling a clear separation between two determinants of neuronal response variability: membrane excitability dynamics vs. synaptic dynamics. Applying this method we show that, within the range of physiological activation frequencies, the synaptic ensemble of a given neuron is a key contributor to the neuronal response variability, long-memory processes and complex statistics observed over extended time scales. Synaptic transmission dynamics impact on response variability in stimulation rates that are substantially lower compared to stimulation rates that drive excitability resources to fluctuate. Implications to network embedded neurons are discussed.
topic Electrical Stimulation
microelectrode array
patch clamp
single neuron
cortical culture
synaptic dynamics
url http://journal.frontiersin.org/Journal/10.3389/fncir.2014.00071/full
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