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Neuronal response impedance mechanism implementing cooperative networks with low firing rates and μs precision

Realizations of low firing rates in neural networks usually require globally balanced distributions among excitatory and inhibitory links, while feasibility of temporal coding is limited by neuronal millisecond precision. We show that cooperation, governing global network features, emerges through n...

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Autores principales: Vardi, Roni, Goldental, Amir, Marmari, Hagar, Brama, Haya, Stern, Edward A., Sardi, Shira, Sabo, Pinhas, Kanter, Ido
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4462995/
https://www.ncbi.nlm.nih.gov/pubmed/26124707
http://dx.doi.org/10.3389/fncir.2015.00029
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author Vardi, Roni
Goldental, Amir
Marmari, Hagar
Brama, Haya
Stern, Edward A.
Sardi, Shira
Sabo, Pinhas
Kanter, Ido
author_facet Vardi, Roni
Goldental, Amir
Marmari, Hagar
Brama, Haya
Stern, Edward A.
Sardi, Shira
Sabo, Pinhas
Kanter, Ido
author_sort Vardi, Roni
collection PubMed
description Realizations of low firing rates in neural networks usually require globally balanced distributions among excitatory and inhibitory links, while feasibility of temporal coding is limited by neuronal millisecond precision. We show that cooperation, governing global network features, emerges through nodal properties, as opposed to link distributions. Using in vitro and in vivo experiments we demonstrate microsecond precision of neuronal response timings under low stimulation frequencies, whereas moderate frequencies result in a chaotic neuronal phase characterized by degraded precision. Above a critical stimulation frequency, which varies among neurons, response failures were found to emerge stochastically such that the neuron functions as a low pass filter, saturating the average inter-spike-interval. This intrinsic neuronal response impedance mechanism leads to cooperation on a network level, such that firing rates are suppressed toward the lowest neuronal critical frequency simultaneously with neuronal microsecond precision. Our findings open up opportunities of controlling global features of network dynamics through few nodes with extreme properties.
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spelling pubmed-44629952015-06-29 Neuronal response impedance mechanism implementing cooperative networks with low firing rates and μs precision Vardi, Roni Goldental, Amir Marmari, Hagar Brama, Haya Stern, Edward A. Sardi, Shira Sabo, Pinhas Kanter, Ido Front Neural Circuits Neuroscience Realizations of low firing rates in neural networks usually require globally balanced distributions among excitatory and inhibitory links, while feasibility of temporal coding is limited by neuronal millisecond precision. We show that cooperation, governing global network features, emerges through nodal properties, as opposed to link distributions. Using in vitro and in vivo experiments we demonstrate microsecond precision of neuronal response timings under low stimulation frequencies, whereas moderate frequencies result in a chaotic neuronal phase characterized by degraded precision. Above a critical stimulation frequency, which varies among neurons, response failures were found to emerge stochastically such that the neuron functions as a low pass filter, saturating the average inter-spike-interval. This intrinsic neuronal response impedance mechanism leads to cooperation on a network level, such that firing rates are suppressed toward the lowest neuronal critical frequency simultaneously with neuronal microsecond precision. Our findings open up opportunities of controlling global features of network dynamics through few nodes with extreme properties. Frontiers Media S.A. 2015-06-11 /pmc/articles/PMC4462995/ /pubmed/26124707 http://dx.doi.org/10.3389/fncir.2015.00029 Text en Copyright © 2015 Vardi, Goldental, Marmari, Brama, Stern, Sardi, Sabo and Kanter. 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
Vardi, Roni
Goldental, Amir
Marmari, Hagar
Brama, Haya
Stern, Edward A.
Sardi, Shira
Sabo, Pinhas
Kanter, Ido
Neuronal response impedance mechanism implementing cooperative networks with low firing rates and μs precision
title Neuronal response impedance mechanism implementing cooperative networks with low firing rates and μs precision
title_full Neuronal response impedance mechanism implementing cooperative networks with low firing rates and μs precision
title_fullStr Neuronal response impedance mechanism implementing cooperative networks with low firing rates and μs precision
title_full_unstemmed Neuronal response impedance mechanism implementing cooperative networks with low firing rates and μs precision
title_short Neuronal response impedance mechanism implementing cooperative networks with low firing rates and μs precision
title_sort neuronal response impedance mechanism implementing cooperative networks with low firing rates and μs precision
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4462995/
https://www.ncbi.nlm.nih.gov/pubmed/26124707
http://dx.doi.org/10.3389/fncir.2015.00029
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