caa a22 4500 445351551 CHVBK 20180317142845.0 cr unu---uuuuu 170323e20110601xx s 000 0 eng 10.1007/s00221-011-2642-y doi (NATIONALLICENCE)springer-10.1007/s00221-011-2642-y Motor coordination: when two have to act as one [Elektronische Daten] [Daniel Braun, Pedro Ortega, Daniel Wolpert] Trying to pass someone walking toward you in a narrow corridor is a familiar example of a two-person motor game that requires coordination. In this study, we investigate coordination in sensorimotor tasks that correspond to classic coordination games with multiple Nash equilibria, such as "choosing sides,” "stag hunt,” "chicken,” and "battle of sexes”. In these tasks, subjects made reaching movements reflecting their continuously evolving "decisions” while they received a continuous payoff in the form of a resistive force counteracting their movements. Successful coordination required two subjects to "choose” the same Nash equilibrium in this force-payoff landscape within a single reach. We found that on the majority of trials coordination was achieved. Compared to the proportion of trials in which miscoordination occurred, successful coordination was characterized by several distinct features: an increased mutual information between the players' movement endpoints, an increased joint entropy during the movements, and by differences in the timing of the players' responses. Moreover, we found that the probability of successful coordination depends on the players' initial distance from the Nash equilibria. Our results suggest that two-person coordination arises naturally in motor interactions and is facilitated by favorable initial positions, stereotypical motor pattern, and differences in response times. The Author(s), 2011 Motor coordination nationallicence Multi-agent interaction nationallicence Game theory nationallicence Braun Daniel Department of Engineering, Computational and Biological Learning Laboratory, University of Cambridge, Cambridge, UK aut Ortega Pedro Department of Engineering, Computational and Biological Learning Laboratory, University of Cambridge, Cambridge, UK aut Wolpert Daniel Department of Engineering, Computational and Biological Learning Laboratory, University of Cambridge, Cambridge, UK aut Experimental Brain Research Springer-Verlag 211/3-4(2011-06-01), 631-641 0014-4819 211:3-4<631 2011 211 221 https://doi.org/10.1007/s00221-011-2642-y text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00221-011-2642-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Braun Daniel Department of Engineering, Computational and Biological Learning Laboratory, University of Cambridge, Cambridge, UK aut NATIONALLICENCE 700 1- Ortega Pedro Department of Engineering, Computational and Biological Learning Laboratory, University of Cambridge, Cambridge, UK aut NATIONALLICENCE 700 1- Wolpert Daniel Department of Engineering, Computational and Biological Learning Laboratory, University of Cambridge, Cambridge, UK aut NATIONALLICENCE 773 0- Experimental Brain Research Springer-Verlag 211/3-4(2011-06-01), 631-641 0014-4819 211:3-4<631 2011 211 221 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer