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1 Dept of Cognitive Neuroscience, ATR Computational Neuroscience Laboratories, Keihanna Science City, Kyoto, Japan; School of Kinesiology, Simon Fraser University, Burnaby, B.C., Canada
2 Dept 3, ATR Human Information Science Laboratories, Keihanna Science City, Kyoto, Japan
3 Dept of Cognitive Neuroscience, ATR Computational Neuroscience Laboratories, Keihanna Science City, Kyoto, Japan
4 School of Kinesiology, Simon Fraser University, Burnaby, B.C., Canada
* To whom correspondence should be addressed. E-mail: dfrank{at}atr.jp.
Humans are able to stabilize their movements in environments with unstable dynamics by selectively modifying arm impedance independently of force and torque. We further investigated adaptation to unstable dynamics to determine whether the CNS maintains a constant overall level of stability as the instability of the environmental dynamics is varied. Subjects performed reaching movements in unstable force fields of varying strength, generated by a robotic manipulator. Although the force fields disrupted the initial movements, subjects were able to adapt to the novel dynamics and learned to produce straight trajectories. After adaptation, the endpoint stiffness of the arm was measured at the midpoint of the movement. The stiffness had been selectively modified in the direction of the instability. The stiffness in the stable direction was relatively unchanged from that measured during movements in a null force field prior to exposure to the unstable force field. This impedance modification was achieved without changes in force and torque. The overall stiffness of the arm and environment in the direction of instability was adapted to the force field strength such that it remained equivalent to that of the null force field. This suggests that the CNS attempts both to maintain a minimum level of stability and minimize energy expenditure.
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