Information-theoretic analysis of de-efferented single muscle spindles

Biol Cybern. 2002 Oct;87(4):241-8. doi: 10.1007/s00422-002-0341-2.

Abstract

The information transmission properties of single, de-efferented primary muscle-spindle afferents from the hind limb of the cat were investigated. The gastrocnemius medialis muscle was stretched randomly while recording spike trains from several muscle-spindle afferents in the dorsal root. Two classes of input stimuli were used: (i) Gaussian noise with band-limited flat spectrum, and (ii) Gaussian noise with a more "naturalistic" 1/f(n) spectrum. The "reconstruction" method was used to calculate a lower bound to the information rate (in bits per second) between the muscle spindles and the spinal cord. Results show that in response to the flat-spectrum input, primary muscle-spindle afferents transfer information mainly about high frequencies, carrying 2.12 bits/spike. In response to naturalistic-spectrum inputs, primary muscle-spindle afferents transfer information about both low and high frequencies, with "spiking efficiency" increasing to 2.67 bits/spike. A simple muscle-spindle simulation model was analyzed with the same method, emphasizing the important part played by the intrafusal fiber mechanical properties in information transmission.

MeSH terms

  • Action Potentials / physiology
  • Afferent Pathways / cytology
  • Afferent Pathways / physiology*
  • Animals
  • Cats
  • Electric Stimulation
  • Mechanotransduction, Cellular / physiology
  • Models, Neurological
  • Motor Neurons, Gamma / physiology
  • Muscle Contraction / physiology
  • Muscle Spindles / cytology
  • Muscle Spindles / physiology*
  • Muscle, Skeletal / innervation*
  • Muscle, Skeletal / physiology
  • Neurons, Afferent / cytology
  • Neurons, Afferent / physiology*
  • Normal Distribution
  • Spinal Nerve Roots / cytology
  • Spinal Nerve Roots / physiology