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ZENODO
Dataset . 2016
License: CC 0
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2016
License: CC 0
Data sources: ZENODO
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Hyperbrain Features Of Team Mental Models Within A Juggling Paradigm: A Proof Of Concept

Authors: Filho Edson; Bertollo Maurizio; Tamburro Gabriella; Schinaia Lorenzo; Jonas Chatel-Goldman; Di Fronso Selenia; Robazza Claudio; +1 Authors

Hyperbrain Features Of Team Mental Models Within A Juggling Paradigm: A Proof Of Concept

Abstract

To capture the neural schemas underlying the notion of shared and complementary mental models, we examined the functional connectivity patterns and hyperbrain features of a juggling dyad involved in cooperative motor tasks of increasing difficulty. Jugglers' cortical activity was measured using two synchronized 32-channel EEG systems during dyadic juggling performed with 3, 4, 5 and 6 balls. Individual and hyperbrain functional connections were quantified through coherence maps calculated across all electrode pairs in the theta and alpha bands (4-8 Hz and 8-12 Hz). Graph metrics were used to typify the topology and efficiency of the functional networks. The datasets uploaded are the two dataset of both jugglers used for this study.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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