Gerwin Schalk

The paper develops and validates an open-source ecosystem for implantable brain-computer interfaces and adaptive neuromodulation, demonstrating its capabilities through preclinical and human studies.

This study evaluates stereo EEG-based brain-computer interfacing (BCI) in adults and children, finding that overt motor BCI is more effective than imagery BCI, with performance varying by age and cortical region.

The paper implants a neuromodulation platform in a beagle to study brain activity, finding the anterior ectosylvian gyrus responds selectively to social reinforcement, suggesting speech understanding may evolve from social brain structures.

This paper introduces two algorithms, GridFit and CEPA, for accurate and automatic localization of intracranial electrodes and brain-shift compensation, validated on real patient data.

The paper identifies a motor association area in the central sulcus that interrupts the topological map of body movements generated by the precentral gyrus.

The paper uses intracranial EEG data to analyze how the brain encodes and decodes music perception, identifying key roles of the right superior temporal gyri.

This study identifies the physiological mechanisms underlying event-related potentials (ERPs) in humans, finding that movement-related potentials are mainly due to endogenous additivity, while auditory evoked potentials are mostly from exogenous phase reset.

The paper uses intracranial recordings to show a neural population in human auditory cortex selectively responsive to musical song.

The paper identifies a high-frequency brain response in the posterior superior temporal gyrus and sulcus to unexpected sound omissions, suggesting a role in auditory prediction and salience detection.