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Data-driven tensor independent component analysis for model-based connectivity neurofeedback., , , and . NeuroImage, (2019)Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis., , , , , , , , , and 38 other author(s). NeuroImage, (2021)Network-based fMRI-neurofeedback training of sustained attention., , , , , , , and . NeuroImage, (2020)Self-regulation of inter-hemispheric visual cortex balance through real-time fMRI neurofeedback training., , , , , , , and . NeuroImage, (2014)Signal quality and Bayesian signal processing in neurofeedback based on real-time fMRI., , , , and . NeuroImage, 59 (1): 478-489 (2012)Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization., , , , , , , , , and . PRNI, page 1-4. IEEE, (2016)Can we predict real-time fMRI neurofeedback learning success from pretraining brain activity?, , , , , , , , , and 29 other author(s). Human Brain Mapping, 41 (14): 3839-3854 (July 2020)Volitional modulation of higher-order visual cortex alters human perception., , , , , , , , and . NeuroImage, (2019)No time for drifting: Comparing performance and applicability of signal detrending algorithms for real-time fMRI., , , , , , , , , and . NeuroImage, (2019)Predictors of real-time fMRI neurofeedback performance and improvement – A machine learning mega-analysis, , , , , , , , , and 38 other author(s). NeuroImage, (August 2021)