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Predicting Individual Differences in Working Memory Training Gain: A Machine Learning Approach., , , , and . CogSci, cognitivesciencesociety.org, (2017)Enhancing Working Memory Training with Transcranial Direct Current Stimulation., , , , , , , and . J. Cognitive Neuroscience, 28 (9): 1419-1432 (2016)Individual Differences and Long-term Consequences of tDCS-augmented Cognitive Training., , , , , , and . J. Cognitive Neuroscience, 29 (9): 1498-1508 (2017)Mini Cheetah: A Platform for Pushing the Limits of Dynamic Quadruped Control., , and . ICRA, page 6295-6301. IEEE, (2019)Association of Intrinsic Functional Connectivity between the Locus Coeruleus and Salience Network with Attentional Ability., , , and . J. Cogn. Neurosci., 35 (10): 1557-1569 (October 2023)Neural correlates of working memory training: Evidence for plasticity in older adults., , , , , , , , , and . NeuroImage, (2020)Vision Aided Dynamic Exploration of Unstructured Terrain with a Small-Scale Quadruped Robot., , , , , , and . ICRA, page 2464-2470. IEEE, (2020)Dynamic Locomotion in the MIT Cheetah 3 Through Convex Model-Predictive Control., , , , and . IROS, page 1-9. IEEE, (2018)A Frontal Account of False Alarms., and . J. Cogn. Neurosci., 33 (9): 1657-1678 (2021)Optimized Jumping on the MIT Cheetah 3 Robot., , , , and . ICRA, page 7448-7454. IEEE, (2019)