What is it about?
When we move our arms, nerves outside the brain and spinal cord—called the peripheral nervous system—send signals to and from our muscles to help guide and adjust those movements. These signals, commonly referred to as reflexes, help the body respond quickly to disturbances. This study introduces a new computational model that simulates how feedback signals travel between muscles and joints in the arm. The model includes 13 major muscles and all joints from the shoulder to the wrist. It uses data from 26 previous studies to estimate how strong these feedback signals are and how long they take to travel. The researchers tested the model to see if it behaves like a real human arm. They found that the feedback signals helped the model match known biological movement patterns. This model could help improve prosthetics, rehabilitation tools, and robotic systems by making them move more like real human limbs.
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This page is a summary of: Feedback parameters for a closed-loop multiple-input multiple-output model of the upper limb, PLoS Computational Biology, June 2025, PLOS,
DOI: 10.1371/journal.pcbi.1013183.
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