RT Journal Article
SR Electronic
T1 Decoupling of timescales reveals sparse convergent CPG network in the adult spinal cord
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 402917
DO 10.1101/402917
A1 Marija Radosevic
A1 Alex Willumsen
A1 Peter C. Petersen
A1 Henrik Lindén
A1 Mikkel Vestergaard
A1 Rune W. Berg
YR 2019
UL http://biorxiv.org/content/early/2019/06/01/402917.abstract
AB 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.