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Decision landscapes: visualizing mouse-tracking data

Computerized paradigms have enabled gathering rich data on human behaviour, including information on motor execution of a decision, e.g. by tracking mouse cursor trajectories. These trajectories can reveal novel information about ongoing decision processes. As the number and complexity of mouse-trac...

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Auteurs principaux: A. Zgonnikov, A. Aleni, P. T. Piiroinen, D. O'Hora, M. di Bernardo
Format: Artigo
Langue:Inglês
Publié: The Royal Society 2017-01-01
Collection:Royal Society Open Science
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Accès en ligne:https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.170482
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