Ke Ma

Separating three variability and noise sources in the response fluctuation of brain stimulation

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

A user-friendly input-output (IO) curve analysis tool for variable brain stimulation responses, particularly evoked potentials in transcranial magnetic stimulation (TMS)

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

Exploring the Dose-Dependency of After-Effects: A Computational Model for Theta-Burst Transcranial Magnetic Stimulation

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.

Optimisation of asymmetric field pulses for transcranial magnetic stimulation

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.

A revised calcium-dependent model of theta-burst transcranial magnetic stimulation

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.