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Temporal changes of beta rhythms and rotation-related negativity reflect switches in motor imagery.

, , , and . EMBC, page 1326-1329. IEEE, (2014)

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The Regret Motivated Reinforcement Learning., and . MHS, page 1-5. IEEE, (2021)A computational approach to detect a mete-learning of the cortical basis function during a motor adaptation study., , and . MHS, page 1-5. IEEE, (2015)Application of computational neuroscience to robotic rehabilitation: a conceptual study.. MHS, page 1-2. IEEE, (2018)Analysis of extrinsic and intrinsic factors affecting event related desynchronization production., , , , , , and . EMBC, page 4619-4622. IEEE, (2012)Motor learning model using reinforcement learning with neural internal model., , and . ICRA, page 3146-3151. IEEE, (2003)MR Compatible Manipulandum with Ultrasonic Motor for fMRI Studies., , , , , , and . ICRA, page 3850-3854. IEEE, (2006)Modeling method in embodied-brain systems science., , , , , , , and . MHS, page 1-2. IEEE, (2015)Study on High-Level Structure of cognition control construction in Exploration and Exploitation within Multi-Armed Bandit Model of Reinforcement Learning., and . MHS, page 1-6. IEEE, (2023)Robustness of Selective Desensitization Perceptron Against Irrelevant and Partially Relevant Features in Pattern Classification., , , and . ICONIP (6), volume 10639 of Lecture Notes in Computer Science, page 520-529. Springer, (2017)Biological Robot Arm Motion through Reinforcement Learning., , and . ICRA, page 3398-3403. IEEE, (2002)