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Compensation Mechanisms01:28

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The human body employs intricate mechanisms to counteract changes in blood pH, preventing conditions like acidosis (pH < 7.35) and alkalosis (pH > 7.45). These compensatory responses aim to restore normal arterial blood pH by engaging respiratory or renal systems, depending on the source of the imbalance.
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Related Experiment Video

Updated: Jul 3, 2026

Movement Retraining using Real-time Feedback of Performance
08:16

Movement Retraining using Real-time Feedback of Performance

Published on: January 17, 2013

Optimal compensation for temporal uncertainty in movement planning.

Todd E Hudson1, Laurence T Maloney, Michael S Landy

  • 1Department of Psychology and Center for Neural Science, New York University, New York, New York, USA. hudson@cns.nyu.edu

Plos Computational Biology
|July 26, 2008
PubMed
Summary

Human motor control adapts to temporal uncertainty during movement planning. The brain optimally adjusts movement timing to maximize rewards, demonstrating sophisticated temporal uncertainty modeling.

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MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
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Published on: May 10, 2012

Area of Science:

  • Neuroscience
  • Motor Control
  • Human Movement Science

Background:

  • Motor control relies on precise timing of neural signals to muscles.
  • Movement planning involves anticipating and managing temporal variability.

Purpose of the Study:

  • To investigate how humans account for temporal uncertainty in movement duration.
  • To determine if motor control systems can optimally compensate for predictable and imposed temporal uncertainties.

Main Methods:

  • Human subjects performed timed movements with rewards for accuracy.
  • Experimental conditions manipulated temporal uncertainty, including duration-dependent increases.
  • Performance was analyzed to assess compensation strategies.

Main Results:

  • Subjects effectively compensated for both natural and experimentally increased temporal uncertainty.
  • Compensation strategies were nearly optimal, maximizing expected task rewards.
  • Evidence suggests the motor system models temporal uncertainty.

Conclusions:

  • The motor system possesses sophisticated mechanisms for modeling and compensating for temporal uncertainty.
  • Optimal performance in motor tasks involves adaptive strategies to manage temporal variability.
  • These findings advance our understanding of predictive motor control and sensorimotor adaptation.