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Several elementary movements require special attention.
Previous experimental studies of stone toolmaking have provided insight into the manual grips [24], [25], [26], elementary movements [27], [28], [29] and kinematic synergies [30] involved in this complex perceptual-motor skill.
Verbal facilitation and action observation were emphasized during motor imagery of elementary movements.
During this task, the patient placed their hand under a video display of a hand making elementary movements such as described above for mirror therapy.
Mirror therapy in the current intervention was a structured activity and included a range of elementary movements recruiting different muscle groups, as well as a few minutes where the patient could do any movements they liked.
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Using recent recurrent network architecture based on the reservoir computing approach, we propose and numerically simulate a model that is focused on the aspects of a flexible motor memory for the storage of elementary movement patterns into the synaptic weights of a neural network, so that the patterns can be retrieved at any time by simple static commands.
The motor imagery tasks during homework sessions were imagined movements including: (i) elementary movement sequences; (ii) reaching and grasping with objects present; (iii) tracing movements; and (iv) activities of daily living using pictorial flip books.
The clustering procedure delivers a set of feature prototypes that we use to determine a segmentation of the trajectory into repeatedly occurring prototypical elementary flight movements.
A region that controls elementary hand movements independent of their sequential context may comprise five separate neuronal populations, each of which a dynamical system (Churchland et al., 2012), whose activation causes the production of an individual finger press.
We present work on a six-legged walking machine that uses a hierarchical version of [C.J.C.H. Watkins, Learning with delayed rewards, Ph.D. Thesis, Psychology Department, Cambridge University, 1989] Q-learning (HQL) to learn both: the elementary swing and stance movements of individual legs as well as the overall coordination scheme to perform forward movements.
L. Husz et al., "Behavioural analysis with movement cluster model for concurrent actions"), the authors propose a method for recognition of complex behaviors of a single individual by use of a movement cluster model (MCM) that relies on sequences of human pose parameters that can model global actions (e.g., full body movement) as well as elementary actions (e.g., arm movement).
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