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All-sense-all networks are suboptimal for sensorimotor synchronization

In human groups that seek to synchronize to a common steady beat, every member can typically perceive every other member. We question whether this naturally occurring all-sense-all condition is optimal for temporal coordination. We consider alternative configurations represented by directed graphs,...

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Detalles Bibliográficos
Autor principal: van de Rijt, Arnout
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6114297/
https://www.ncbi.nlm.nih.gov/pubmed/30157192
http://dx.doi.org/10.1371/journal.pone.0202056
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author van de Rijt, Arnout
author_facet van de Rijt, Arnout
author_sort van de Rijt, Arnout
collection PubMed
description In human groups that seek to synchronize to a common steady beat, every member can typically perceive every other member. We question whether this naturally occurring all-sense-all condition is optimal for temporal coordination. We consider alternative configurations represented by directed graphs, in which individuals can only hear or see a subset of others. We identify a trade-off in the topology of such networks: While denser graphs provide stronger coupling, improving synchrony, density increases sensitivity to early taps, which produces rushing. Results from an experimental study with music conservatory students show that networks that combine short path length with low density match all-sense-all networks in synchrony while yielding a steadier beat. These findings suggest that professional teams in arts, sports, industry, and the military may improve temporal coordination by employing technology that strategically configures who can track whom.
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spelling pubmed-61142972018-09-17 All-sense-all networks are suboptimal for sensorimotor synchronization van de Rijt, Arnout PLoS One Research Article In human groups that seek to synchronize to a common steady beat, every member can typically perceive every other member. We question whether this naturally occurring all-sense-all condition is optimal for temporal coordination. We consider alternative configurations represented by directed graphs, in which individuals can only hear or see a subset of others. We identify a trade-off in the topology of such networks: While denser graphs provide stronger coupling, improving synchrony, density increases sensitivity to early taps, which produces rushing. Results from an experimental study with music conservatory students show that networks that combine short path length with low density match all-sense-all networks in synchrony while yielding a steadier beat. These findings suggest that professional teams in arts, sports, industry, and the military may improve temporal coordination by employing technology that strategically configures who can track whom. Public Library of Science 2018-08-29 /pmc/articles/PMC6114297/ /pubmed/30157192 http://dx.doi.org/10.1371/journal.pone.0202056 Text en © 2018 Arnout van de Rijt http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
van de Rijt, Arnout
All-sense-all networks are suboptimal for sensorimotor synchronization
title All-sense-all networks are suboptimal for sensorimotor synchronization
title_full All-sense-all networks are suboptimal for sensorimotor synchronization
title_fullStr All-sense-all networks are suboptimal for sensorimotor synchronization
title_full_unstemmed All-sense-all networks are suboptimal for sensorimotor synchronization
title_short All-sense-all networks are suboptimal for sensorimotor synchronization
title_sort all-sense-all networks are suboptimal for sensorimotor synchronization
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6114297/
https://www.ncbi.nlm.nih.gov/pubmed/30157192
http://dx.doi.org/10.1371/journal.pone.0202056
work_keys_str_mv AT vanderijtarnout allsenseallnetworksaresuboptimalforsensorimotorsynchronization