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Abstract:
he question of whether the nervous system produces movement
through the combination of a few discrete elements has long been
central to the study of motor control. Muscle synergies, i.e.
coordinated patterns of muscle activity, have been proposed as
possible building blocks. Here we propose a model based on
combinations of muscle synergies with a specific amplitude and
temporal structure. Time-varying synergies provide a realistic
basis for the decomposition of the complex patterns observed in
natural behaviors. To extract time-varying synergies from
simultaneous recording of EMG activity we developed an algorithm
which extends existing non-negative matrix factorization
techniques.
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