Boshuo Wang

This paper shows that variants of relative frequency methods for TMS motor thresholding are inaccurate and slow, recommending instead stochastic approximation or maximum likelihood estimation.

The paper uses histological data and computational models to identify myelinated axon bends as potential targets for TMS, showing they have physiologically realistic activation thresholds.

This paper introduces a dual-channel magnetic chamber for high-frequency magnetic neuromodulation in mice, capable of generating two independent magnetic fields with minimal interference and real-time behavioral monitoring.

The paper shows that single pointwise E-field samples cannot predict neural activation thresholds, as thresholds depend on spatial integration of the E-field along the neural cable.

This study compares frequency-dependent and capacitive tissue properties in spinal cord stimulation models to assess their impact on electric fields and heating, finding that quasi-static approximation remains valid under certain conditions.

This paper discusses the correction of electric field amplitudes and conductivity values to bridge macroscopic and microscopic brain stimulation models, improving modeling accuracy.