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Related Concept Videos

Uncertainty: Overview00:59

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In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
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The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
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Related Experiment Video

Updated: Jan 10, 2026

Assessing Corticospinal Excitability During Goal-Directed Reaching Behavior
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Uncertainty Shapes Neural Dynamics in Motor Cortex During Reaching.

Tapas J Arakeri1, Jean M Dill1, Katalin M Gothard1

  • 1Departments of Physiology and Neuroscience, College of Medicine, University of Arizona, Tucson, AZ, USA 85724.

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Summary
This summary is machine-generated.

Brain activity in the dorsal premotor cortex adjusts motor plans during reaching movements under uncertainty. Higher uncertainty led to narrower neural trajectories, suggesting faster re-planning for accurate goal-directed actions.

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Area of Science:

  • Neuroscience
  • Motor Control
  • Cognitive Neuroscience

Background:

  • Voluntary movements often occur with incomplete information about the goal.
  • The brain must flexibly adjust motor plans and ongoing movements based on changing conditions.

Purpose of the Study:

  • To investigate how uncertainty about a reach target influences neural preparation and execution.
  • To examine neural activity in dorsal premotor (PMd) and primary motor (M1) cortices during a reaching task with varying target uncertainty.

Main Methods:

  • Recorded neural activity from PMd and M1 in a rhesus macaque performing a reaching task.
  • Manipulated target uncertainty using probabilistic cues and delayed target presentation.
  • Analyzed population neural trajectories in relation to uncertainty levels.

Main Results:

  • Neural trajectories in PMd, but not M1, showed progressively less expansive preparatory states with higher uncertainty.
  • Despite altered preparatory states, the executed movements remained consistent across uncertainty levels.
  • A specific dimension in neural state-space was identified that represents the level of uncertainty during preparation and execution.

Conclusions:

  • Neural preparation in PMd adapts to target uncertainty, with narrower trajectories potentially facilitating faster re-planning.
  • The findings suggest a neural mechanism for adapting goal-directed movements under conditions of incomplete information.
  • Motor planning and execution can be flexibly adjusted by the brain in response to varying levels of environmental uncertainty.