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Decoupling of timescales reveals sparse convergent CPG network in the adult spinal cord

Author

Listed:
  • Marija Radosevic

    (University of Copenhagen)

  • Alex Willumsen

    (University of Copenhagen)

  • Peter C. Petersen

    (University of Copenhagen
    New York University)

  • Henrik Lindén

    (University of Copenhagen)

  • Mikkel Vestergaard

    (University of Copenhagen
    Max Delbrück Center for Molecular Medicine (MDC))

  • Rune W. Berg

    (University of Copenhagen)

Abstract

During the generation of rhythmic movements, most spinal neurons receive an oscillatory synaptic drive. The neuronal architecture underlying this drive is unknown, and the corresponding network size and sparseness have not yet been addressed. If the input originates from a small central pattern generator (CPG) with dense divergent connectivity, it will induce correlated input to all receiving neurons, while sparse convergent wiring will induce a weak correlation, if any. Here, we use pairwise recordings of spinal neurons to measure synaptic correlations and thus infer the wiring architecture qualitatively. A strong correlation on a slow timescale implies functional relatedness and a common source, which will also cause correlation on fast timescale due to shared synaptic connections. However, we consistently find marginal coupling between slow and fast correlations regardless of neuronal identity. This suggests either sparse convergent connectivity or a CPG network with recurrent inhibition that actively decorrelates common input.

Suggested Citation

  • Marija Radosevic & Alex Willumsen & Peter C. Petersen & Henrik Lindén & Mikkel Vestergaard & Rune W. Berg, 2019. "Decoupling of timescales reveals sparse convergent CPG network in the adult spinal cord," Nature Communications, Nature, vol. 10(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-10822-9
    DOI: 10.1038/s41467-019-10822-9
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    Cited by:

    1. Sravani Kondapavulur & Stefan M. Lemke & David Darevsky & Ling Guo & Preeya Khanna & Karunesh Ganguly, 2022. "Transition from predictable to variable motor cortex and striatal ensemble patterning during behavioral exploration," Nature Communications, Nature, vol. 13(1), pages 1-17, December.

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