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

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Abstract

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.

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References

  • Baddeley A (1986) Working memory. Clarendon, Oxford

  • Baddeley A (1992) Working memory. Science 255:556–559

    Google Scholar 

  • Baraduc P, Wolpert DM (2002) Adaptation to a visuomotor shift depends on the starting posture. J Neurophysiol 88:973–981

    Google Scholar 

  • Bock O (2003) Sensorimotor adaptation to visual distortions with different kinematic coupling. Exp Brain Res 151:557–560

    Google Scholar 

  • Bock O, Schneider S, Bloomberg J (2001) Conditions for interference versus facilitation during sequential sensorimotor adaptation. Exp Brain Res 138:359–365

    Google Scholar 

  • Brashers-Krug T, Shadmehr R, Bizzi E (1996) Consolidation in human motor memory. Nature 382:252–255

    Google Scholar 

  • Caithness G, Osu R, Bays P, Chase H, Klassen J, Kawato M, Wolpert DM, Flanagan JR (2004) Failure to consolidate the consolidation theory of learning for sensorimotor adaptation tasks. J Neurosci 24:8662–8671

    Google Scholar 

  • Cheney PD, Preston JB (1976) Classification of fusimotor fibers in the primate. J Neurophysiol 39:9–19

    Google Scholar 

  • Flash T, Hogan N (1985) The coordination of arm movements: an experimentally confirmed mathematical model. J Neurosci 5:1688–1703

    Google Scholar 

  • Gandolfo F, Mussa-Ivaldi F, Bizzi E (1996) Motor learning by field approximation. Proc Natl Acad Sci Usa 93:3843–3846

    Google Scholar 

  • Goodbody SJ, Wolpert DM (1998) Temporal and amplitude generalization in motor learning. J Neurophysiol 79:1825–1838

    Google Scholar 

  • Imamizu H, Uno Y, Kawato M (1995) Internal representations of the motor apparatus: implications from generalization in visuomotor learning. J Exp Psychol Hum Percept Perform 21:1174–1198

    Google Scholar 

  • Johnson MT, Ebner TJ (2000) Processing of multiple kinematic signals in the cerebellum and motor cortices. Brain Res Brain Res Rev 33:155–168

    Google Scholar 

  • Krakauer JW, Ghilardi MF, Ghez C (1999) Independent learning of internal models for kinematic and dynamic control of reaching. Nat Neurosci 2:1026–1031

    Google Scholar 

  • Krakauer JW, Pine ZM, Ghilardi MF, Ghez C (2000) Learning of visuomotor transformations for vectorial planning of reaching trajectories. J Neurosci 20:8916–8924

    Google Scholar 

  • Sainburg RL, Ghez C, Kalakanis D (1999) Intersegmental dynamics are controlled by sequential anticipatory, error correction, and postural mechanisms. J Neurophysiol 81:1045–1056

    Google Scholar 

  • Shadmehr R, Mussa-Ivaldi F (1994) Adaptive representation of dynamics during learning of a motor task. J Neurosci 14:3208–3224

    Google Scholar 

  • Tong C, Wolpert DM, Flanagan JR (2002) Kinematics and dynamics are not represented independently in motor working memory: evidence from an interference study. J Neurosci 22:1108–1113

    Google Scholar 

  • Wigmore V, Tong C, Flanagan JR (2002) Visuomotor rotations of varying size and direction compete for a single internal model in motor working memory. J Exp Psychol Hum Percept Perform 28:447–457

    Google Scholar 

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Correspondence to Paul M. Bays.

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Bays, P.M., Flanagan, J.R. & Wolpert, D.M. Interference between velocity-dependent and position-dependent force-fields indicates that tasks depending on different kinematic parameters compete for motor working memory. Exp Brain Res 163, 400–405 (2005). https://doi.org/10.1007/s00221-005-2299-5

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