Interference between velocity-dependent and position-dependent force-fields indicates that tasks depending on different kinematic parameters compete for motor working memory

Humans demonstrate motor learning when exposed to changes in the dynamics of movement or changes in the visuomotor map. However, when two opposing dynamic transformations are learned in succession, the memory of the first is overwritten by learning of the second; the same is true for two opposing visuomotor rotations. This retrograde interference is not seen for all combinations of transformations, however. When a dynamic transformation is learned subsequent to a visuomotor rotation, the presence or absence of interference appears to depend crucially on the structure of the dynamic task: a force-field dependent on the position of the hand produces interference, whereas an inertial load applied lateral to the hand does not. To explain these results, it has been hypothesized that two transformations can be learned without interference if they depend on two different kinematic parameters of movement (such as position and velocity of the hand). Here we demonstrate, contrary to this hypothesis, interference between a dynamic transformation that depends on the position of the hand and one that depends on its velocity. However, the interference was found to be incomplete, supporting the view that the ability to retain motor memories for different tasks depends on the degree to which their representations conflict in working memory.

[1]  E. Bizzi,et al.  Consolidation in human motor memory , 1996, Nature.

[2]  R L Sainburg,et al.  Intersegmental dynamics are controlled by sequential anticipatory, error correction, and postural mechanisms. , 1999, Journal of neurophysiology.

[3]  John W. Krakauer,et al.  Independent learning of internal models for kinematic and dynamic control of reaching , 1999, Nature Neuroscience.

[4]  Otmar Bock,et al.  Conditions for interference versus facilitation during sequential sensorimotor adaptation , 2001, Experimental Brain Research.

[5]  T. Flash,et al.  The coordination of arm movements: an experimentally confirmed mathematical model , 1985, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[6]  Daniel M Wolpert,et al.  Adaptation to a visuomotor shift depends on the starting posture. , 2002, Journal of neurophysiology.

[7]  M. Kawato,et al.  Internal representations of the motor apparatus: implications from generalization in visuomotor learning. , 1995, Journal of experimental psychology. Human perception and performance.

[8]  Daniel M Wolpert,et al.  Kinematics and Dynamics Are Not Represented Independently in Motor Working Memory: Evidence from an Interference Study , 2002, The Journal of Neuroscience.

[9]  C Ghez,et al.  Learning of Visuomotor Transformations for Vectorial Planning of Reaching Trajectories , 2000, The Journal of Neuroscience.

[10]  D. Wolpert,et al.  Failure to Consolidate the Consolidation Theory of Learning for Sensorimotor Adaptation Tasks , 2004, The Journal of Neuroscience.

[11]  J Randall Flanagan,et al.  Visuomotor rotations of varying size and direction compete for a single internal model in motor working memory. , 2002, Journal of experimental psychology. Human perception and performance.

[12]  Otmar Bock Sensorimotor adaptation to visual distortions with different kinematic coupling , 2003, Experimental Brain Research.

[13]  D. Wolpert,et al.  Temporal and amplitude generalization in motor learning. , 1998, Journal of neurophysiology.

[14]  T. Ebner,et al.  Processing of multiple kinematic signals in the cerebellum and motor cortices , 2000, Brain Research Reviews.

[15]  J. B. Preston,et al.  Classification of fusimotor fibers in the primate. , 1976, Journal of neurophysiology.

[16]  F A Mussa-Ivaldi,et al.  Adaptive representation of dynamics during learning of a motor task , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[17]  E Bizzi,et al.  Motor learning by field approximation. , 1996, Proceedings of the National Academy of Sciences of the United States of America.