Ke Ma

This paper develops a three-variability-source model to better describe brain stimulation input-output curves by separating physiological variability from background noise.

The paper introduces a user-friendly tool for analyzing input-output curves from brain stimulation responses, enabling statistical analysis and variability separation.

The paper develops a computational model to explore the dose-dependency of theta-burst transcranial magnetic stimulation (TBS) protocols, capturing non-linearities in synaptic plasticity and metaplasticity.

This paper optimises asymmetric field pulses for transcranial magnetic stimulation to reduce energy loss and coil heating, showing that asymmetric pulses with specific waveform characteristics are more power-efficient than conventional ones.

This paper corrects a computational model of theta-burst TMS by fixing code inconsistencies and introducing a non-convex optimisation method, improving its accuracy in describing MEP amplitudes.