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dc.rights.licenseopenen_US
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorPRATVIEL, Yvan
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorDESCHODT-ARSAC, Véronique
dc.contributor.authorLARRUE, Florian
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorARSAC, Laurent
IDREF: 123700795
dc.date.accessioned2022-08-26T08:17:02Z
dc.date.available2022-08-26T08:17:02Z
dc.date.issued2022-05
dc.identifier.issn2504-3110en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/140590
dc.description.abstractEnRecent advances in neuroscience have linked dynamical systems theory to cognition. The main contention is that extended cognition relies on a unitary brain-body-tool system showing the expected signatures of interaction-dominance reflected in a multifractal behavior. This might be particularly relevant when it comes to understanding how the brain is able to embody a tool to perform a task. Here we applied the multifractal formalism to the dynamics of hand movement while one was performing a computer task (the herding task) using a mouse or its own hand as a tool to move an object on the screen. We applied a focus-based multifractal detrended fluctuation analysis to acceleration time series. Then, multifractal nonlinearity was assessed by comparing original series to a finite set of surrogates obtained after Iterated Amplitude Adjusted Fourier transformation, a method that removes nonlinear multiscale dependencies while preserving the linear structure of the time series. Both hand and mouse task execution demonstrated multifractal nonlinearity, a typical form of across-scales interactivity in cognitive control. In addition, a wider multifractal spectrum was observed in mouse condition, which might highlight a richer set of interactions when the cognitive system is extended to the embodied mouse. We conclude that the emergence of multifractal nonlinearity from a brain-body-tool system pleads for recent theories of radical tool embodiment. Multifractal nonlinearity may be a promising metric to appreciate how physical objects—but also virtual tools and potentially prosthetics—are efficiently embodied by the brain.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subject.encognitive system
dc.subject.ennonlinear dynamics
dc.subject.enembodiment
dc.subject.enhuman-machine interface
dc.title.enTool Embodiment Is Reflected in Movement Multifractal Nonlinearity
dc.typeArticle de revueen_US
dc.identifier.doi10.3390/fractalfract6050240en_US
dc.subject.halSciences du Vivant [q-bio]/Neurosciences [q-bio.NC]/Sciences cognitivesen_US
bordeaux.journalFractal and Fractionalen_US
bordeaux.page240en_US
bordeaux.volume6en_US
bordeaux.hal.laboratoriesLaboratoire d’Intégration du Matériau au Système (IMS) - UMR 5218en_US
bordeaux.issue5en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionCNRSen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcehal
hal.identifierhal-03677510
hal.version1
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccCC BYen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Fractal%20and%20Fractional&rft.date=2022-05&rft.volume=6&rft.issue=5&rft.spage=240&rft.epage=240&rft.eissn=2504-3110&rft.issn=2504-3110&rft.au=PRATVIEL,%20Yvan&DESCHODT-ARSAC,%20V%C3%A9ronique&LARRUE,%20Florian&ARSAC,%20Laurent&rft.genre=article


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