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  1. Decoding Intracranial EEG With Machine Learning: A Systematic Review.Nykan Mirchi, Nebras M. Warsi, Frederick Zhang, Simeon M. Wong, Hrishikesh Suresh, Karim Mithani, Lauren Erdman & George M. Ibrahim - 2022 - Frontiers in Human Neuroscience 16.
    Advances in intracranial electroencephalography and neurophysiology have enabled the study of previously inaccessible brain regions with high fidelity temporal and spatial resolution. Studies of iEEG have revealed a rich neural code subserving healthy brain function and which fails in disease states. Machine learning, a form of artificial intelligence, is a modern tool that may be able to better decode complex neural signals and enhance interpretation of these data. To date, a number of publications have applied ML to iEEG, but clinician (...)
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