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Closed-loop brain training: the science of neurofeedback, , , , , , , , , and 2 other author(s). Nature Reviews Neuroscience, 18 (2): 86--100 (December 2016)Author Correction: Closed-loop brain training: the science of neurofeedback, , , , , , , , , and 2 other author(s). Nature Reviews Neuroscience, 20 (5): 314--314 (March 2019)Predictability Changes What We Remember in Familiar Temporal Contexts., , , and . J. Cogn. Neurosci., 32 (1): 124-140 (2020)Dissociating refreshing and elaboration and their impacts on memory., , , , and . NeuroImage, (2019)Self-regulation strategy, feedback timing and hemodynamic properties modulate learning in a simulated fMRI neurofeedback environment., , and . PLoS Comput. Biol., (2017)Separation of item and context in item-method directed forgetting., , , , and . NeuroImage, (2021)Neural mechanisms of cue-approach training., , , and . NeuroImage, (2017)A simulation-based approach to improve decoded neurofeedback performance., , and . NeuroImage, (2019)Estimating Intrinsic Manifold Dimensionality to Classify Task-Related Information in Human and Non-Human Primate Data., , , and . BioCAS, page 650-654. IEEE, (2022)Working Memory Swap Errors Have Identifiable Neural Representations., , and . J. Cogn. Neurosci., 34 (5): 776-786 (2022)