Max van den Boom

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.

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.

ER-detect automates the detection of early evoked responses in iEEG data, achieving performance comparable to inter-rater reliability.

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

This study shows that neuronal communication speed increases with age, reaching peak efficiency in middle age, across both long- and short-range brain connections.

The paper investigates motor cortex electrophysiology in an amputee, finding preserved hand representations and high decoding accuracy for finger movements.