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Neural-network-based analysis of EEG data using the neuromorphic TrueNorth chip for brain-machine interfaces., , , , and . IBM J. Res. Dev., 61 (2/3): 7:1-7:6 (2017)A Robust Low-Cost EEG Motor Imagery-Based Brain-Computer Interface., , , , , and . EMBC, page 5089-5092. IEEE, (2018)ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG Identification., , and . CoRR, (2018)ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG Identification., , and . AIME, volume 11526 of Lecture Notes in Computer Science, page 47-56. Springer, (2019)TrueNorth-enabled real-time classification of EEG data for brain-computer interfacing., , , , , , and . EMBC, page 1648-1651. IEEE, (2017)Deep Learning Enabled Automatic Abnormal EEG Identification., , and . EMBC, page 2756-2759. IEEE, (2018)Decoding EEG and LFP signals using deep learning: heading TrueNorth., , , , , and . Conf. Computing Frontiers, page 259-266. ACM, (2016)Can electric current steering be used to control perception of a retinal prosthesis patient., , , and . EMBC, page 3013-3016. IEEE, (2012)Embracing the irregular: A patient-specific image processing strategy for visual prostheses., , , , and . EMBC, page 3563-3566. IEEE, (2013)Feature accentuation in phosphenated images., , , and . EMBC, page 5915-5918. IEEE, (2012)