Optimal information transfer in the cortex through synchronization.

In recent experimental work it has been shown that neuronal interactions are modulated by neuronal synchronization and that this modulation depends on phase shifts in neuronal oscillations. This result suggests that connections in a network can be shaped through synchronization. Here, we test and ex...

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Main Authors: Andres Buehlmann, Gustavo Deco
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2010-01-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC2940722?pdf=render
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author Andres Buehlmann
Gustavo Deco
author_facet Andres Buehlmann
Gustavo Deco
author_sort Andres Buehlmann
collection DOAJ
description In recent experimental work it has been shown that neuronal interactions are modulated by neuronal synchronization and that this modulation depends on phase shifts in neuronal oscillations. This result suggests that connections in a network can be shaped through synchronization. Here, we test and expand this hypothesis using a model network. We use transfer entropy, an information theoretical measure, to quantify the exchanged information. We show that transferred information depends on the phase relation of the signal, that the amount of exchanged information increases as a function of oscillations in the signal and that the speed of the information transfer increases as a function of synchronization. This implies that synchronization makes information transport more efficient. In summary, our results reinforce the hypothesis that synchronization modulates neuronal interactions and provide further evidence that gamma band synchronization has behavioral relevance.
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spelling doaj.art-e5197626ec3d49d686f0286b5c2aa9612022-12-22T03:40:19ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582010-01-01693307331410.1371/journal.pcbi.1000934Optimal information transfer in the cortex through synchronization.Andres BuehlmannGustavo DecoIn recent experimental work it has been shown that neuronal interactions are modulated by neuronal synchronization and that this modulation depends on phase shifts in neuronal oscillations. This result suggests that connections in a network can be shaped through synchronization. Here, we test and expand this hypothesis using a model network. We use transfer entropy, an information theoretical measure, to quantify the exchanged information. We show that transferred information depends on the phase relation of the signal, that the amount of exchanged information increases as a function of oscillations in the signal and that the speed of the information transfer increases as a function of synchronization. This implies that synchronization makes information transport more efficient. In summary, our results reinforce the hypothesis that synchronization modulates neuronal interactions and provide further evidence that gamma band synchronization has behavioral relevance.http://europepmc.org/articles/PMC2940722?pdf=render
spellingShingle Andres Buehlmann
Gustavo Deco
Optimal information transfer in the cortex through synchronization.
PLoS Computational Biology
title Optimal information transfer in the cortex through synchronization.
title_full Optimal information transfer in the cortex through synchronization.
title_fullStr Optimal information transfer in the cortex through synchronization.
title_full_unstemmed Optimal information transfer in the cortex through synchronization.
title_short Optimal information transfer in the cortex through synchronization.
title_sort optimal information transfer in the cortex through synchronization
url http://europepmc.org/articles/PMC2940722?pdf=render
work_keys_str_mv AT andresbuehlmann optimalinformationtransferinthecortexthroughsynchronization
AT gustavodeco optimalinformationtransferinthecortexthroughsynchronization