JNP Podcasts

A state-space approach to quantifying common motor input

August 29, 2017

How can the common synaptic input to a pool of motor neurons be quantified? In this podcast, Editor-in-Chief Bill Yates (University of Pittsburgh) talks with Dan Feeney (University of Colorado, Boulder) about the history of quantifying common motor input, a new state-space model approach to the problem, and the experimental findings which validated this model.

A latent low-dimensional common input drives a pool of motor neurons: a probabilistic latent state-space model
Daniel F. Feeney, Francois G. Meyer, Nicholas Noone, Roger M. Enoka
Journal of Neurophysiology, published online August 2, 2017. DOI: 10.1152/jn.00274.2017.