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Related Concept Videos

Motor Units00:46

Motor Units

62.0K
A motor unit consists of two main components: a single efferent motor neuron (i.e., a neuron that carries impulses away from the central nervous system) and all of the muscle fibers it innervates. The motor neuron may innervate multiple muscle fibers, which are single cells, but only one motor neuron innervates a single muscle fiber.
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Motor Units01:13

Motor Units

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The motor unit is a fundamental component of the neuromuscular system and plays a crucial role in coordinating muscle contractions. It consists of a somatic motor neuron, which connects and controls multiple skeletal muscle fibers, forming a single functional segment. The axon of the motor neuron branches out and establishes synaptic connections known as neuromuscular junctions with individual muscle fibers within the motor unit.
Motor units come in different sizes, with smaller units...
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Motor Unit Stimulation01:20

Motor Unit Stimulation

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When the neuron of a motor unit fires an action potential, it triggers a series of events, leading to a twitch contraction in the muscle fibers. The process of excitation-contraction coupling is crucial in relaying the action potential to the muscle fibers.
The latent period of contraction marks the onset of excitation-contraction coupling, when the action potential propagates across the sarcolemma, preparing the muscle fibers for contraction. As the fibers enter the contraction phase, the...
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Measurement: Derived Units03:02

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The International System of Units or SI system, by international agreement, has fixed measurement units for seven fundamental properties: length, mass, time, temperature, electric current, amount of substance, and luminosity. These are called the SI base units.
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Measurement: Standard Units03:38

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Every measurement provides three kinds of information: the size or magnitude of the measurement (a number), a standard of comparison for the measurement (a unit), and an indication of the uncertainty of the measurement. While the number and unit are explicitly represented when a quantity is written, the uncertainty is an aspect of the errors in the measurement results.
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Virtual Work01:20

Virtual Work

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The principle of virtual work states that if a body is in static and dynamic equilibrium, then the sum of all the virtual work done by all external forces and couple moments for any given virtual displacement must be zero.
In static equilibrium, a body can experience an imaginary or virtual movement, such as displacement or rotation. The virtual work done by a force is equal to the dot product of force and virtual displacement in the direction of the force. When it comes to virtually rotating a...
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PyMUS: Python-Based Simulation Software for Virtual Experiments on Motor Unit System.

Hojeong Kim1, Minjung Kim1

  • 1Convergence Research Institute, Daegu Gyeongbuk Institute of Science and Technology, Daegu, South Korea.

Frontiers in Neuroinformatics
|April 27, 2018
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Summary
This summary is machine-generated.

We developed a computationally efficient model of a motor unit and simulation software for investigating neural control of force production. This tool aids researchers and educators in motor physiology studies.

Keywords:
computer modelingmotoneuronmotor unitmuscle fiberspythonsimulation software

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Area of Science:

  • Neuroscience
  • Computational Biology
  • Motor Physiology

Background:

  • Understanding the neural control of force production requires detailed models of motor unit function.
  • Existing models may lack computational efficiency or comprehensive integration of motoneuron and muscle unit dynamics.

Purpose of the Study:

  • To construct a physiologically plausible and computationally efficient model of a motor unit.
  • To develop user-friendly simulation software for investigating motor unit system input-output processing.

Main Methods:

  • Coupled a two-compartment motoneuron model with a muscle unit model via a simplified axon.
  • Utilized a recent muscle modeling approach incorporating activation dynamics across various conditions.
  • Developed object-oriented simulation software using Python with graphical user interfaces.

Main Results:

  • Successfully created a model motor unit integrating motoneuron, axon, and muscle components.
  • Developed versatile simulation software enabling analysis from single units to system behavior.
  • Demonstrated the software's utility for diverse experimental input protocols.

Conclusions:

  • The model motor unit and simulation software offer efficient tools for motor physiology research.
  • These tools facilitate cellular-level investigations into the neural control of force production.
  • The software is suitable for both research and educational purposes in motor physiology.