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Prospective active marker motion correction improves statistical power in BOLD fMRI., , , , , , and . NeuroImage, (2013)Roe: A Computational-Efficient Anti-hallucination Fine-Tuning Technology for Large Language Model Inspired by Human Learning Process., and . BI, volume 13974 of Lecture Notes in Computer Science, page 456-463. Springer, (2023)Prestimulus EEG alpha oscillations modulate task-related fMRI BOLD responses to auditory stimuli., , , , , and . NeuroImage, (2015)Second Order Bilinear Discriminant Analysis for single trial EEG analysis., , and . NIPS, page 313-320. Curran Associates, Inc., (2007)Bayesian recurrent state space model for rs-fMRI., , , and . CoRR, (2020)A hierarchical neural network architecture that learns target context: applications to digital mammography., , and . ICIP (3), page 149-151. IEEE Computer Society, (1995)Grand Challenges in Mapping the Human Brain: NSF Workshop Report., , , , , , , , , and . IEEE Trans. Biomed. Eng., 60 (11): 2983-2992 (2013)Ballistocardiogram Artifact Reduction in Simultaneous EEG-fMRI Using Deep Learning., , , , and . IEEE Trans. Biomed. Eng., 68 (1): 78-89 (2021)A Fast Hybrid Algorithm for Large-Scale l1-Regularized Logistic Regression., , , and . J. Mach. Learn. Res., (2010)Welcome message., , , and . NER, IEEE, (2017)