Reorganization of Finger Coordination Patterns During Adaptation to Rotation and Scaling of a Newly Learned Sensorimotor Transformation

Liu, Xiaolin; Mosier, Kristine M.; Mussa-Ivaldi, Ferdinando A.; Casadio, Maura; Scheidt, Robert A.

doi:10.1152/jn.00247.2010

Cited by 57 publications

(52 citation statements)

References 78 publications

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“…Here, by using a task that had considerable motor redundancy, we showed that learning a prior task not only influenced performance of the second task, but also that the movement solutions used to solve the second task were contingent upon those learned in first task (as indicated by the null space dispersion). The results support the hypothesis that learning rarely occurs on a blank slate (Zanone and Kelso, 1992;Kelso, 1995) and that learning can be influenced by previously learned (or intrinsic) patterns of coordination (Ranganathan and Newell, 2009;Ganesh et al, 2010;Liu et al, 2011;de Rugy et al, 2012), and may include even compensatory coordination patterns such as those seen after stroke (Raghavan et al, 2010). These results further suggest that models of motor learning and skill transfer need to account for the influence of existing repertoire of coordination patterns in addition to more common considerations of optimality (e.g., the minimization of effort or kinematic errors).…”

Section: Influence Of Prior Learned Coordination Patterns On Motor Lesupporting

confidence: 78%

“…1) having 2 rows and 20 columns (cf. Mosier et al, 2005;Liu and Scheidt, 2008): Figure 1. Experimental setup.…”

Section: Methodsmentioning

confidence: 99%

“…We refer to this second subspace as the task's null space. Structural learning is supported by experimental observations from diverse tasks including goal-directed reaching (Braun et al, 2009), acquisition of sensorimotor associations (Braun et al, 2010), and learning of novel finger coordination patterns (Mosier et al, 2005).…”

Section: Introductionmentioning

confidence: 97%

“…Participants wore a data glove and learned to control a virtual object (a cursor) by finger motions (Mosier et al, 2005). Participants learned two tasks: a prior task and a criterion task.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Learning Redundant Motor Tasks with and without Overlapping Dimensions: Facilitation and Interference Effects

Ranganathan

Wieser

Mosier

et al. 2014

Journal of Neuroscience

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Prior learning of a motor skill creates motor memories that can facilitate or interfere with learning of new, but related, motor skills. One hypothesis of motor learning posits that for a sensorimotor task with redundant degrees of freedom, the nervous system learns the geometric structure of the task and improves performance by selectively operating within that task space. We tested this hypothesis by examining if transfer of learning between two tasks depends on shared dimensionality between their respective task spaces. Human participants wore a data glove and learned to manipulate a computer cursor by moving their fingers. Separate groups of participants learned two tasks: a prior task that was unique to each group and a criterion task that was common to all groups. We manipulated the mapping between finger motions and cursor positions in the prior task to define task spaces that either shared or did not share the task space dimensions (x-y axes) of the criterion task. We found that if the prior task shared task dimensions with the criterion task, there was an initial facilitation in criterion task performance. However, if the prior task did not share task dimensions with the criterion task, there was prolonged interference in learning the criterion task due to participants finding inefficient task solutions. These results show that the nervous system learns the task space through practice, and that the degree of shared task space dimensionality influences the extent to which prior experience transfers to subsequent learning of related motor skills.

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Section: Influence Of Prior Learned Coordination Patterns On Motor Lesupporting

confidence: 78%

“…1) having 2 rows and 20 columns (cf. Mosier et al, 2005;Liu and Scheidt, 2008): Figure 1. Experimental setup.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Learning Redundant Motor Tasks with and without Overlapping Dimensions: Facilitation and Interference Effects

Ranganathan

Wieser

Mosier

et al. 2014

Journal of Neuroscience

View full text Add to dashboard Cite

show abstract

“…Thus global generalization for visuomotor gain can also be explained by our simplicity/familiarity hypothesis. As extreme cases of unfamiliar perturbations, a recent study examined the learning of an arbitrary mapping from multi-finger movements to a cursor movement, a completely novel task where prior experience was minimally applicable (Liu et al 2011). Not surprisingly, generalization across directions was found to be very narrow.…”

Section: Discussionmentioning

confidence: 99%

Generalization of unconstrained reaching with hand-weight changes

Xiang

Wang

et al. 2013

Journal of Neurophysiology

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Studies of motor generalization usually perturb hand reaches by distorting visual feedback with virtual reality or by applying forces with a robotic manipulandum. Whereas such perturbations are useful for studying how the central nervous system adapts and generalizes to novel dynamics, they are rarely encountered in daily life. The most common perturbations that we experience are changes in the weights of objects that we hold. Here, we use a center-out, free-reaching task, in which we can manipulate the weight of a participant's hand to examine adaptation and generalization following naturalistic perturbations. In both trial-by-trial paradigms and block-based paradigms, we find that learning converges rapidly (on a timescale of approximately two trials), and this learning generalizes mostly to movements in nearby directions with a unimodal pattern. However, contrary to studies using more artificial perturbations, we find that the generalization has a strong global component. Furthermore, the generalization is enhanced with repeated exposure of the same perturbation. These results suggest that the familiarity of a perturbation is a major factor in movement generalization and that several theories of the neural control of movement, based on perturbations applied by robots or in virtual reality, may need to be extended by incorporating prior influence that is characterized by the familiarity of the perturbation. motor generalization; familiarity; reaching movements; state-space model; generalization function AS WE MOVE AND INTERACT WITH the environment, we constantly update our sensorimotor behaviors to adapt to changing sensory feedback and forces on our limbs. Which aspects of these changes are learned and how these changes are represented in the nervous system have been studied extensively by examining how people generalize a behavior learned in one context to another. Traditionally, generalization studies have perturbed reaching movements by introducing visual distortion in a virtual-reality setting

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Organizing and Reorganizing Coordination Patterns

Ranganathan

Scheidt

2016

Advances in Experimental Medicine and Biology

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Understanding how the nervous system learns to coordinate the large number of degrees of freedom in the body to produce goal-directed movement is not only one of the central questions in theoretical movement neuroscience, but also has direct relevance for movement rehabilitation. In spite of the centrality of this issue, the literature on how a new coordination pattern is acquired and refined when first learning a novel task remains surprisingly small relative to studies that focus on modifications of already well-learned coordination patterns. In this chapter, we outline some of the reasons behind why the study of coordination continues to pose a serious challenge for movement neuroscience, particularly when it comes to systematically studying and testing hypotheses on how new coordination patterns are organized and reorganized with practice. We then describe a novel experimental paradigm-the body-machine interface (BoMI)-that has been developed and used over the last decade to examine this issue. The paradigm combines the control of a large number of degrees of freedom along with a linear mapping, which makes it appealing to examine how coordination of these high degrees of freedom is organized in a systematic fashion. Finally, we outline some of the new insights that this paradigm has provided into classic issues of motor learning such as the learning of high-dimensional spaces, generalization, and transfer.

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Reorganization of Finger Coordination Patterns During Adaptation to Rotation and Scaling of a Newly Learned Sensorimotor Transformation

Abstract: Liu X, Mosier KM, Mussa-Ivaldi FA, Casadio M, Scheidt RA. Reorganization of finger coordination patterns during adaptation to rotation and scaling of a newly learned sensorimotor transformation.

Cited by 57 publications

References 78 publications

Learning Redundant Motor Tasks with and without Overlapping Dimensions: Facilitation and Interference Effects

Learning Redundant Motor Tasks with and without Overlapping Dimensions: Facilitation and Interference Effects

Generalization of unconstrained reaching with hand-weight changes

Organizing and Reorganizing Coordination Patterns

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