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Related Concept Videos

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When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
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Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
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The margin of error is also called the maximum error of an estimate. The margin of error is the maximum possible or expected difference between the observed sample parameter value and the actual population parameter value. For proportion, it is the maximum difference between the value of sample proportion obtained from the data and the true value of population proportion. As the true value of the population parameter is not known, the margin of error is calculated using the sample statistic.
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The sampling variability of a statistic is defined as how much the statistic varies from one sample to another. The sampling variability of a statistic is typically measured by measuring its standard error.
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An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles
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Visuomotor learning is dependent on direction-specific error saliency.

Wanying Jiang1,2,3, Xianzhi Yuan4,1,2, Cong Yin5

  • 1Beijing Key Laboratory of Behavior and Mental Health , Beijing , China.

Journal of Neurophysiology
|March 29, 2018
PubMed
Summary
This summary is machine-generated.

Motor learning shows a directional effect, with faster adaptation in cardinal directions than oblique ones. Enhancing error signals improves learning in oblique directions, suggesting direction impacts motor memory.

Keywords:
error saliencymotor adaptationmotor generalizationoblique effectvisuomotor rotation

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Area of Science:

  • Neuroscience
  • Motor Control
  • Human Perception

Background:

  • The oblique effect, where cardinal directions are perceived better than oblique ones, is well-established in visual perception.
  • Motor learning studies typically do not account for directional effects in learning or adaptation.

Purpose of the Study:

  • To investigate if a directional effect exists in motor learning, similar to the oblique effect in perception.
  • To explore the role of error saliency in motor learning across different movement directions.

Main Methods:

  • Utilized visuomotor rotation paradigms to assess motor learning and adaptation.
  • Compared initial learning and relearning savings in cardinal versus oblique directions.
  • Manipulated error saliency using augmented visual feedback to influence learning in oblique directions.

Main Results:

  • Demonstrated a significant directional effect in motor learning, with greater savings in cardinal directions.
  • Showed that enhancing error saliency increased savings in previously ineffective oblique directions.
  • Confirmed that motor errors are more salient in cardinal directions, facilitating learning.

Conclusions:

  • Movement direction significantly influences motor learning, particularly with direction-specific learning signals.
  • Motor error saliency plays a crucial role in the formation and retrieval of motor memories.
  • Findings offer practical applications for optimizing motor rehabilitation and athletic training programs.