Andrew Phillips

This paper reviews Hill-type muscle models, finding most lack innovation, proper validation, parameter identification, and reusability.

The paper describes new electrophysiological and computational methods to accurately estimate neural drive to muscles in humans in vivo by improving MU sampling and using data augmentation.

This paper shows that larger and denser EMG electrode grids improve the identification of more representative motor unit samples through computational and experimental analysis.

The paper proposes a method combining EMG signal decomposition and realistic motoneuron modeling to estimate the firing behavior of entire motoneuron pools in humans.

The paper derives mathematical relationships between electrophysiological and anatomical properties of spinal alpha-motoneurons across species, validating existing theories and providing a tool for modeling and experimental analysis.