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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2014-07-01
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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 |
work_keys_str_mv |
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