Benjamin Kalloch

The paper develops methods to optimize TMS coil sequences for motor mapping by reducing redundancy and improving efficiency in robotic TMS platforms.

The paper develops computationally efficient average response models of cortical neurons to estimate TMS-induced stimulation thresholds based on electric field orientation.

This study investigates how transcranial magnetic stimulation affects spatial attention using biophysical modeling and fMRI, finding limited correlation between electric fields and behavior but selective attentional inhibition in some subjects.

The paper introduces a flexible workflow for simulating transcranial electric stimulation in healthy and lesioned brains using open-source tools.

This study shows that stimulating the right frontopolar cortex with tDCS enhances reward-based motor learning by increasing reward expectation and reducing exploration volatility.