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COMMENTARY
HIGHLIGHTED TOPICS
Neural Control of Movement
In the second featured article, entitled "Simultaneous control of hand displacements and rotations in orientation-matching experiments," Drs. E. Torres and D. Zipser (2) address the independence of the spatial and temporal components of voluntary motion. The basis for this study was a recently proposed theoretical framework that suggests a geometric stage between sensory perception and motor action that functions as a brain mechanism to simulate goal-directed behavior without actual implementation. These investigators employed a simple but unconstrained orientation-matching experiment that revealed that simultaneous control of hand transport and rotation is robust to changes in speed, initial arm configuration, and target orientation. This finding is consistent with this theoretical framework and suggests that learning to produce a new geometric, time-independent strategy and learning to become proficient in the temporal domain of motion are distinct processes. Consequently, the smoothness and gracefulness of automatic movements can develop independently of geometric path. Such independence implies that an area of the brain is responsible for encoding the time-free directional signal this method proposes. An ideal candidate appears to be the posterior parietal cortex, a highly cognitive area where neural correlates of several of the key ingredients necessary for simulating this type of geometric motion in the brain are known to coexist. Such signals include those related to sensory goals (for defining the target of action), arm geometry (for enabling task-dependent metric identification), and coordinate transformations (for building smooth-differentiable maps). In addition, movement intentions in the absence of motion and a dynamics-free representation of movement previously described in this region are consistent with time-free representation of movement. This theoretical framework will not only serve to pose new questions about the formation of cognitive strategies in complex motions at both the behavioral and neurophysiological levels but will also provide the tools suitable for analysis of such high-dimensional spaces.
REFERENCES
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