Fig. 2
From: Predicting wrist kinematics from motor unit discharge timings for the control of active prostheses
The proposed dimensionality reduction model (b) inspired by the physiological model (a). Each motor neuron j in a pool i receives an input αij from the central nervous system, which determines the motor unit spike train xij. The input to the motor neuron is partly common to the other motor neurons in the pool and is associated to the spike train by the function gij(∙). After estimation of the functions gij(∙), the synaptic inputs of the motor neurons are used to extract one activation signal \( {a}_i^r \) in the time processing window r that reflects the common input. The final activation is also obtained by combining in its estimation the activation at the previous processing interval r − 1 (\( {a}_i^{r-1} \)) to promote smoothness