Benefits of Sleep in Motor Learning – Prospects and Limitations

Blischke, Klaus; Erlacher, Daniel; Kresin, Heiko; Brueckner, Sebastian; Malangré, Andreas

doi:10.2478/v10078-008-0015-9

Cited by 31 publications

(37 citation statements)

References 20 publications

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“…Furthermore, the experiment was spread over 2 days to avoid excessive fatigue in the participants. There is extensive evidence of the enhancing effect of sleep on for example sequential finger tapping, although there is less evidence of a significant effect on for example pursuit tracking [20]. In any case, future experiments should be counterbalanced, with separate days for training, benchmarking and shared control.…”

Section: Resultsmentioning

confidence: 99%

Adaptive collision-limitation behavior for an assistive manipulator

Stoelen

Tejada

Victores

et al. 2013

2013 IEEE/RSJ International Conference on Intelligent Robots and Systems

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An approach for adaptive shared control of an assistive manipulator is presented. A set of distributed collision and proximity sensors is used to aid in limiting collisions during direct control by the disabled user. Artificial neural networks adapt the use of the proximity sensors online, which limits movements in the direction of an obstacle before a collision occurs. The system learns by associating the different proximity sensors to the collision sensors where collisions are detected. This enables the user and the robot to adapt simultaneously and in real-time, with the objective of converging on a usage of the proximity sensors that increases performance for a given user, robot implementation and task-set. The system was tested in a controlled setting with a simulated 5 DOF assistive manipulator and showed promising reductions in the mean time on simplified manipulation tasks. It extends earlier work by showing that the approach can be applied to full multi-link manipulators.

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Section: Resultsmentioning

confidence: 99%

Adaptive collision-limitation behavior for an assistive manipulator

Stoelen

Tejada

Victores

et al. 2013

2013 IEEE/RSJ International Conference on Intelligent Robots and Systems

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“…between Post1 and Pre2, and between Post2 and Pre3) did not result in statistically significant increases in performance for either group (t-tests, p>0.05), suggesting there were no delayed off-line gains in performance between sessions, however, on an individual level some participants exhibited off-line learning: Cued group –2 participants out of 8; Uncued group –3 participants out of 7. Note, however, that for test measurement only two trials were averaged, this could impair our ability to reveal delayed gains in the speed of performance (such as in [36]) due to warm-up decrements in the first trial after daytime retention intervals (and consistent with [37]). …”

Section: Resultsmentioning

confidence: 99%

“…Several explanations may account for this. First, appearance of warm-up decrements after daytime retention intervals along with low number of trials averaged (two) could impair our ability to reveal delayed gains in speed of performance (consistent with [37]). Second, due to the similarity of the finger-tapping task to standard keyboard usage, executing a key press takes so little time that inter-key gaps are likely to reflect exclusively the underlying control mechanisms.…”

Section: Discussionmentioning

confidence: 96%

Kinematic Strategies Underlying Improvement in the Acquisition of a Sequential Finger Task with Self-Generated vs. Cued Repetition Training

Friedman

Korman

2012

PLoS ONE

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Many motor skills, such as typing, consist of articulating simple movements into novel sequences that are executed faster and smoother with practice. Dynamics of re-organization of these movement sequences with multi-session training and its dependence on the amount of self-regulation of pace during training is not yet fully understood. In this study, participants practiced a sequence of key presses. Training sessions consisted of either externally (Cued) or self-initiated (Uncued) training. Long-term improvements in performance speed were mainly due to reducing gaps between finger movements in both groups, but Uncued training induced higher gains. The underlying kinematic strategies producing these changes and the representation of the trained sequence differed significantly across subjects, although net gains in speed were similar. The differences in long-term memory due to the type of training and the variation in strategies between subjects, suggest that the different neural mechanisms may subserve the improvements observed in overall performance.

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“…Earlier attempts at demonstrating sleep-related offline learning for motor tasks different from finger-tapping, for the most part came to nothing (Blischke et al, 2008). It was concluded, however, that at least certain gross motor tasks might be amenable to sleep-related EC, as long as they were sequentially structured, spatially defined, and explicitly acquired.…”

Section: Discussionmentioning

confidence: 99%

Sleep-Related Offline Learning in a Complex Arm Movement Sequence

Malangré

Leinen

Blischke

2014

Journal of Human Kinetics

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Sleep is known to elicit off-line improvements of newly learned procedural skills, a phenomenon attributed to enhancement consolidation of an internal skill representation. In the motor domain, enhancement consolidation has been reported almost exclusively for sequential-finger-tapping skills. The aim of the present study was to extend the notion of sleep-related enhancement consolidation to tasks closer to everyday motor skills. This was achieved by employing a sequence of unrestrained reaching-movements with the non-dominant arm. Fifteen reaching-movements had to be executed as fast as possible, following a spatial pattern in the horizontal plane. Terminating each movement, a peg had to be fitted into a hole on an electronic pegboard. Two experimental groups received initial training, one in the evening, the other one in the morning. Subsequently, performance in both groups was retested twelve, and again 24 hrs later. Thus, during retention each individual experienced a night of sleep, either followed or preceded by a wake interval. Performance error remained low throughout training and retests. Yet mean total execution time, indicative of task execution-speed, significantly decreased for all individuals throughout initial training (no group differences), and significantly decreased again in either group following nocturnal sleep, but not following wake. This finding does not appear to result merely from additional practice afforded at the time of retests, because only after a night of sleep individuals of both experimental groups also revealed performance improvement beyond that estimated from their initial training performance.

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Benefits of Sleep in Motor Learning – Prospects and Limitations

Cited by 31 publications

References 20 publications

Adaptive collision-limitation behavior for an assistive manipulator

Adaptive collision-limitation behavior for an assistive manipulator

Kinematic Strategies Underlying Improvement in the Acquisition of a Sequential Finger Task with Self-Generated vs. Cued Repetition Training

Sleep-Related Offline Learning in a Complex Arm Movement Sequence

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