Signaling in large-scale neural networks

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Standard

Signaling in large-scale neural networks. / Berg, Rune W; Hounsgaard, Jørn.

In: Cognitive Processing - Heidelberg, Vol. 10 Suppl 1, 2009, p. s. 9-15.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Berg, RW & Hounsgaard, J 2009, 'Signaling in large-scale neural networks', Cognitive Processing - Heidelberg, vol. 10 Suppl 1, pp. s. 9-15. https://doi.org/10.1007/s10339-008-0238-7

APA

Berg, R. W., & Hounsgaard, J. (2009). Signaling in large-scale neural networks. Cognitive Processing - Heidelberg, 10 Suppl 1, s. 9-15. https://doi.org/10.1007/s10339-008-0238-7

Vancouver

Berg RW, Hounsgaard J. Signaling in large-scale neural networks. Cognitive Processing - Heidelberg. 2009;10 Suppl 1:s. 9-15. https://doi.org/10.1007/s10339-008-0238-7

Author

Berg, Rune W ; Hounsgaard, Jørn. / Signaling in large-scale neural networks. In: Cognitive Processing - Heidelberg. 2009 ; Vol. 10 Suppl 1. pp. s. 9-15.

Bibtex

@article{9a1d0dd0458011df928f000ea68e967b,
title = "Signaling in large-scale neural networks",
abstract = "We examine the recent finding that neurons in spinal motor circuits enter a high conductance state during functional network activity. The underlying concomitant increase in random inhibitory and excitatory synaptic activity leads to stochastic signal processing. The possible advantages of this metabolically costly organization are analyzed by comparing with synaptically less intense networks driven by the intrinsic response properties of the network neurons.",
author = "Berg, {Rune W} and J{\o}rn Hounsgaard",
note = "Keywords: Animals; Chromosome Pairing; Humans; Nerve Net; Neurons; Signal Transduction",
year = "2009",
doi = "10.1007/s10339-008-0238-7",
language = "English",
volume = "10 Suppl 1",
pages = "s. 9--15",
journal = "Cognitive Processing",
issn = "1612-4782",
publisher = "Springer",

}

RIS

TY - JOUR

T1 - Signaling in large-scale neural networks

AU - Berg, Rune W

AU - Hounsgaard, Jørn

N1 - Keywords: Animals; Chromosome Pairing; Humans; Nerve Net; Neurons; Signal Transduction

PY - 2009

Y1 - 2009

N2 - We examine the recent finding that neurons in spinal motor circuits enter a high conductance state during functional network activity. The underlying concomitant increase in random inhibitory and excitatory synaptic activity leads to stochastic signal processing. The possible advantages of this metabolically costly organization are analyzed by comparing with synaptically less intense networks driven by the intrinsic response properties of the network neurons.

AB - We examine the recent finding that neurons in spinal motor circuits enter a high conductance state during functional network activity. The underlying concomitant increase in random inhibitory and excitatory synaptic activity leads to stochastic signal processing. The possible advantages of this metabolically costly organization are analyzed by comparing with synaptically less intense networks driven by the intrinsic response properties of the network neurons.

U2 - 10.1007/s10339-008-0238-7

DO - 10.1007/s10339-008-0238-7

M3 - Journal article

C2 - 19009313

VL - 10 Suppl 1

SP - s. 9-15

JO - Cognitive Processing

JF - Cognitive Processing

SN - 1612-4782

ER -

ID: 19160794