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Hierarchy of Motor Control01:18

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Spinal Cord Electrophysiology
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A model for self-organization of sensorimotor function: spinal interneuronal integration.

Jonas M D Enander1, Gerald E Loeb2, Henrik Jörntell1

  • 1Department of Experimental Medical Science, Faculty of Medicine, Lund University, Lund, Sweden.

Journal of Neurophysiology
|April 27, 2022
PubMed
Summary
This summary is machine-generated.

Spinal cord circuits may develop functional connectivity through Hebbian learning during fetal development, rather than solely relying on genetic programming. This self-organizing process creates diverse interneurons and adaptable motor control.

Keywords:
extrafusal muscleinterneuronsintrafusal muscleneuron modelspinal development

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Area of Science:

  • Neuroscience
  • Developmental Biology
  • Computational Biology

Background:

  • Spinal cord circuitry controls musculoskeletal systems via voluntary commands and somatosensory feedback.
  • Existing research suggests transcriptional diversity in spinal interneurons dictates connectivity patterns.

Purpose of the Study:

  • To investigate if Hebbian adaptation during early development can explain muscle-specific connectivity patterns in the spinal cord.
  • To challenge the notion that genetically ordained wiring is the primary driver of spinal interneuron connectivity.

Main Methods:

  • Developed a computational model of a simplified musculoskeletal system with realistic muscles and sensors.
  • Connected the system to a random neuronal network with excitatory and inhibitory neurons employing Hebbian learning rules.
  • Simulated fetal-like muscle twitches to allow the network to learn and adapt.

Main Results:

  • Simulations consistently produced diverse, stable neural activity and connectivity patterns, including interneuron subsets resembling known archetypes.
  • Learned networks demonstrated increased interneuron cooperativity for untrained limb movements.
  • Emergent connectivity patterns reflected the mechanical properties of the musculoskeletal system.

Conclusions:

  • Hebbian learning during early development can generate complex spinal interneuron circuitry without predefined genetic wiring.
  • Transcriptional diversity may be a consequence, not a cause, of emergent connectivity.
  • This self-organizing learning process offers a potential mechanism for adapting to musculoskeletal evolution and mutations.