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In the feature subset selection problem, a learning algorithm is faced with the problem of selecting a relevant subset of features upon which to focus its attention, while ignoring the rest. To achieve the best possible performance with a... more
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      Cognitive ScienceArtificial IntelligenceMachine LearningMotor Learning
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      Cognitive ScienceArtificial IntelligenceMachine LearningMotor Learning
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      Motor LearningMotor ControlComputer ModelTime Delay
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      Cognitive ScienceMathematicsMotor LearningNeural Network
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      Motor LearningTranscranial Magnetic StimulationSkill AcquisitionMultidisciplinary
The role of the cerebellar cortex in motor learning was investigated by comparing the paramedian lobule of adult rats given difficult acrobatic training to that of rats that had been given extensive physical exercise or had been inactive.... more
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      PlasticityMotor LearningMultidisciplinaryLearning
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      Cognitive ScienceElectrophysiologyMotor LearningLong Term Potentiation
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      Artificial IntelligenceMachine LearningComputational ComplexityCombinatorial Optimization
Voluntary physical activity and exercise training can favorably influence brain plasticity by facilitating neurogenerative, neuroadaptive, and neuroprotective processes. At least some of the processes are mediated by neurotrophic factors.... more
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      ObesityMotor LearningCognitionBehavior
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The performances of patients with dementia of the Alzheimer type (DAT), patients with Huntington's disease (HD), and demented and nondemented patients with Parkinson's disease (PD) were compared on 2 tests of implicit memory that... more
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      Motor LearningMagnetic Resonance ImagingTranscranial Magnetic StimulationFunctional MRI
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      Motor LearningMagnetic Resonance ImagingMotor ControlAction observation
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      NeuroscienceElectron MicroscopyMotor LearningLearning
Variability is a natural and important feature of human movement. Using existing theoretical frameworks as a foundation, we propose a new model to explain movement variability as it relates to motor learning and health. We contend that... more
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      Motor LearningMotor DevelopmentNonlinear dynamicsTreatment Outcome
The basal ganglia have been implicated in motor planning and motor learning. In the study reported here, we directly tested for response plasticity in striatal neurons of macaque monkeys undergoing Pavlovian conditioning. To focus the... more
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Though mild cognitive impairment is an intermediate clinical state between healthy aging and Alzheimer's disease (AD), there are very few whole-brain voxel-wise diffusion MRI studies directly comparing changes in healthy control, mild... more
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BACKGROUND: Previous results with the planar robot MIT-MANUS demonstrated positive benefits in trials with over 250 stroke patients. Consistent with motor learning, the positive effects did not generalize to other muscle groups or limb... more
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      Biomedical EngineeringMotor LearningClinical TrialStatistical Significance
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It is generally believed that a smooth execution of a compound movement, or motor coordination, requires learning of component movements as well as experience-based refinement of the motor program as a whole. PKCγ mutant mice display... more
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      ElectrophysiologyMotor LearningEnzyme InhibitorsBiological Sciences