Identifying Neural Biomarkers of Risk-Taking from Intracranial EEG Recordings
Machine learning pipeline for identifying neural biomarkers of risk-taking behavior from intracranial EEG recordings.
Machine learning pipeline for identifying neural biomarkers of risk-taking behavior from intracranial EEG recordings.
End-to-end simulation and optimization platform for deep brain stimulation, achieving >100x efficiency over state-of-the-art methods.
Study of how EEG electrode density affects deep learning-based source imaging performance.