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Somatosensation

Somatosensation

The somatosensory system relays sensory information from the skin, mucous membranes, limbs, and joints. Somatosensation is more familiarly known as the sense of touch. A typical somatosensory pathway includes three types of long neurons: primary, secondary, and tertiary. Primary neurons have cell bodies located near the spinal cord in groups of neurons called dorsal root ganglia. The sensory neurons of ganglia innervate designated areas of skin called dermatomes.

Motor Unit Stimulation

Motor Unit Stimulation

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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Related Experiment Video

Updated: Sep 18, 2025

Combining Multiple Data Acquisition Systems to Study Corticospinal Output and Multi-segment Biomechanics

Combining Multiple Data Acquisition Systems to Study Corticospinal Output and Multi-segment Biomechanics

Published on: January 9, 2016

Computing muscle mechanical state variables from combined proprioceptive sensory feedback.

Jacob D Stephens¹, Lena H Ting^1,2, Timothy C Cope^1,2,3

¹Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, Georgia, USA.

Experimental Physiology

|June 24, 2025

Summary

Proprioceptive sensory feedback, crucial for movement control, involves muscle spindles and Golgi tendon organs. Analyzing these propriosensors together reveals how the body distinguishes self-generated from external forces.

Keywords:

Golgi tendon organ computational modelling muscle spindle proprioception

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Last Updated: Sep 18, 2025

Combining Multiple Data Acquisition Systems to Study Corticospinal Output and Multi-segment Biomechanics

Combining Multiple Data Acquisition Systems to Study Corticospinal Output and Multi-segment Biomechanics

Published on: January 9, 2016

Force and Position Control in Humans - The Role of Augmented Feedback

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Published on: June 19, 2016

The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals

The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals

Published on: January 13, 2022

Area of Science:

Neuroscience
Biomechanics
Motor Control

Background:

Proprioceptive sensory feedback is vital for neuromuscular system control.
Sensorimotor control loops function as state feedback controllers.
Understanding mechanical state variables signaled by proprioceptive afferents is key to deciphering control circuits.

Purpose of the Study:

To investigate how combinations of muscle spindle afferent feedback (group Ia and II) enable tuned responses to force and its rate.
To explore how combined muscle spindle and Golgi tendon organ feedback can differentiate external from self-generated forces.
To propose a framework linking spinal cord neural connectivity with neuromechanical control, emphasizing mechanical context.

Main Methods:

Utilized novel computational approaches to model sensory feedback integration.
Simulated the combined effects of group Ia and II muscle spindle afferent feedback.
Modeled the integration of muscle spindle and Golgi tendon organ feedback.

Main Results:

Demonstrated that combined group Ia and II muscle spindle feedback allows for tuned responses to force and rate of force (or length and velocity).
Showed that combinations of muscle spindle and Golgi tendon organ feedback can parse external versus internal (self-generated) forces.
Suggested muscle spindle feedback may monitor and control muscle forces, not just length and velocity.

Conclusions:

Muscle spindle and Golgi tendon organ feedback integration is essential for distinguishing self-generated from externally imposed forces.
Analyzing muscle propriosensors as an integrated population, rather than independently, enhances understanding of proprioception-motor control.
The study provides a framework connecting neural pathways with neuromechanical control, highlighting the importance of mechanical context.