When less is more: non-monotonic spike sequence processing in neurons.

Fundamental response properties of neurons centrally underly the computational capabilities of both individual nerve cells and neural networks. Most studies on neuronal input-output relations have focused on continuous-time inputs such as constant or noisy sinusoidal currents. Yet, most neurons comm...

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Main Authors: Hinrich Arnoldt, Shuwen Chang, Sven Jahnke, Birk Urmersbach, Holger Taschenberger, Marc Timme
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-02-01
Series:PLoS Computational Biology
Online Access:https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1004002&type=printable
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author Hinrich Arnoldt
Shuwen Chang
Sven Jahnke
Birk Urmersbach
Holger Taschenberger
Marc Timme
author_facet Hinrich Arnoldt
Shuwen Chang
Sven Jahnke
Birk Urmersbach
Holger Taschenberger
Marc Timme
author_sort Hinrich Arnoldt
collection DOAJ
description Fundamental response properties of neurons centrally underly the computational capabilities of both individual nerve cells and neural networks. Most studies on neuronal input-output relations have focused on continuous-time inputs such as constant or noisy sinusoidal currents. Yet, most neurons communicate via exchanging action potentials (spikes) at discrete times. Here, we systematically analyze the stationary spiking response to regular spiking inputs and reveal that it is generically non-monotonic. Our theoretical analysis shows that the underlying mechanism relies solely on a combination of the discrete nature of the communication by spikes, the capability of locking output to input spikes and limited resources required for spike processing. Numerical simulations of mathematically idealized and biophysically detailed models, as well as neurophysiological experiments confirm and illustrate our theoretical predictions.
format Article
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institution OA Journals
issn 1553-734X
1553-7358
language English
publishDate 2015-02-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS Computational Biology
spelling doaj-art-423909384de040bebda3b7070069a3012025-08-20T02:15:12ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582015-02-01112e100400210.1371/journal.pcbi.1004002When less is more: non-monotonic spike sequence processing in neurons.Hinrich ArnoldtShuwen ChangSven JahnkeBirk UrmersbachHolger TaschenbergerMarc TimmeFundamental response properties of neurons centrally underly the computational capabilities of both individual nerve cells and neural networks. Most studies on neuronal input-output relations have focused on continuous-time inputs such as constant or noisy sinusoidal currents. Yet, most neurons communicate via exchanging action potentials (spikes) at discrete times. Here, we systematically analyze the stationary spiking response to regular spiking inputs and reveal that it is generically non-monotonic. Our theoretical analysis shows that the underlying mechanism relies solely on a combination of the discrete nature of the communication by spikes, the capability of locking output to input spikes and limited resources required for spike processing. Numerical simulations of mathematically idealized and biophysically detailed models, as well as neurophysiological experiments confirm and illustrate our theoretical predictions.https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1004002&type=printable
spellingShingle Hinrich Arnoldt
Shuwen Chang
Sven Jahnke
Birk Urmersbach
Holger Taschenberger
Marc Timme
When less is more: non-monotonic spike sequence processing in neurons.
PLoS Computational Biology
title When less is more: non-monotonic spike sequence processing in neurons.
title_full When less is more: non-monotonic spike sequence processing in neurons.
title_fullStr When less is more: non-monotonic spike sequence processing in neurons.
title_full_unstemmed When less is more: non-monotonic spike sequence processing in neurons.
title_short When less is more: non-monotonic spike sequence processing in neurons.
title_sort when less is more non monotonic spike sequence processing in neurons
url https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1004002&type=printable
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