T. F. Besier

This paper develops a deep-learning method for markerless tracking of infant general movements in video recordings, achieving high accuracy across multiple anatomical locations.

The paper uses a spiking neural network model to explain oscillatory responses in the motor cortex following transcranial magnetic stimulation, showing the role of recurrent inhibitory connections in generating motor evoked potentials.

This study uses Diffusion Tensor Imaging to analyze muscle architecture in children with cerebral palsy, finding reduced physiological cross-sectional area and variable along-fiber length, indicating impaired muscle strength.