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dc.contributor.authorMatic, Adames_ES
dc.contributor.authorGomez-Marin, Alexes_ES
dc.date.accessioned2020-08-10T10:09:55Z-
dc.date.available2020-08-10T10:09:55Z-
dc.date.issued2019-
dc.identifier.citationJournal of Neuroscience Methods 328: 108398 (2019)es_ES
dc.identifier.issn0165-0270-
dc.identifier.urihttp://hdl.handle.net/10261/217669-
dc.description.abstract[Background]: Precise behavioral measurements allow the discovery of movement constraints that provide insights into sensory-motor processes and their underlying neural mechanisms. For instance, when humans draw an ellipse on a piece of paper, the instantaneous speed of the pen co-varies tightly with the local curvature of the path. Known as the speed-curvature power law, this phenomenon relates to fundamental questions of motor control.es_ES
dc.description.abstract[New method]: We have developed a software app for displaying static curves or dynamic targets while recording finger or stylus movements on Android touch-screen tablets. Designed for human hand movement research, the app is free, ready-to-use, open-source and customizable.es_ES
dc.description.abstract[Results]: We provide a template experimental protocol, and detailed explanations to use it and flexibly modify the code for different kinds of tasks. Our validation of the app demonstrates laboratory-quality results outside the laboratory. We also provide raw data and analysis scripts.es_ES
dc.description.abstract[Comparison with existing methods]: Commonly used laboratory devices for recording hand movement trajectories are large, heavy and expensive. In turn, software apps are often not published, nor customizable. Our app running on tablets becomes an affordable, flexible, and portable tool suited for quantitative and robust behavioral studies with large number of participants and outside the laboratory (e.g. in a classroom, a hospital, or at home).es_ES
dc.description.abstract[Conclusions]: The affordability, flexibility, and resolution of our tablet app provide an effective tool to study behavior quantitatively in the real world.es_ES
dc.description.sponsorshipThe work was supported by the Spanish Ministry of Science (grant BFU-2015-74241-JIN to AGM; pre-doctoral contract BES-2016-077608 to AM) and by the Severo Ochoa Center of Excellence programs (SEV-2013-0317 start-up funds to AGM).es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relationMINECO/ICTI2013-2016/BFU2015-74241-JINes_ES
dc.relationMINECO/ICTI2013-2016/SEV-2013-0317es_ES
dc.relation.isversionofPublisher's versiones_ES
dc.rightsopenAccesses_ES
dc.subjectTablet appes_ES
dc.subjectMotor controles_ES
dc.subjectSpeed-curvature power lawes_ES
dc.subjectReal-world neurosciencees_ES
dc.titleA customizable tablet app for hand movement research outside the labes_ES
dc.typeartículoes_ES
dc.identifier.doihttp://dx.doi.org/10.1016/j.jneumeth.2019.108398-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.jneumeth.2019.108398es_ES
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/es_ES
dc.contributor.funderMinisterio de Economía y Competitividad (España)es_ES
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003329es_ES
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