Olli‐Pekka Kahilakoski

This paper introduces rtSOUND, a real-time EEG noise cancellation algorithm that improves signal-to-noise ratio for brain-computer interfaces and monitoring applications.

This paper develops an EEG-guided robotic TMS system that controls both pulse timing and location in real time, improving closed-loop neurostimulation for research and clinical applications.

This study demonstrates the feasibility of timing transcranial magnetic stimulation (TMS) to interictal epileptiform discharges (IEDs) in children with SeLECTS using a CNN-based EEG pipeline.

This paper develops an automated algorithm for determining motor hotspots and thresholds in TMS, achieving faster and more accurate results than previous methods.

This paper characterizes an open-source electronic-robotic mTMS platform that improves the accuracy and automation of brain stimulation targeting.

This paper develops a digital interface for precise, brain-state-dependent TMS timing, achieving sub-millisecond accuracy in EEG-TMS synchronization.

NeuroSimo provides open-source software for real-time closed-loop EEG-TMS stimulation, enabling flexible and precise control with low timing error.