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A virtual demonstrator environment for robot imitation learning., , , , and . TePRA, page 1-6. IEEE, (2015)Brain biomarkers based assessment of cognitive workload in pilots under various task demands., , , , , , , , , and . EMBC, page 5860-5863. IEEE, (2014)Cortex inspired model for inverse kinematics computation for a humanoid robotic finger., , , , and . EMBC, page 3052-3055. IEEE, (2012)Human-Robotic Collaborative Intelligent Control for Reaching Performance., , , , , , and . HCI (24), volume 8027 of Lecture Notes in Computer Science, page 666-675. Springer, (2013)Non-invasive Functional Brain Biomarkers for Cognitive-Motor Performance Assessment: Towards New Brain Monitoring Applications.. HCI (20), volume 6780 of Lecture Notes in Computer Science, page 159-168. Springer, (2011)A Self-Organizing Map Architecture for Arm Reaching Based on Limit Cycle Attractors., , and . EAI Endorsed Trans. Self-Adaptive Systems, 2 (5): e1 (2016)NeuroCERIL: Robotic Imitation Learning via Hierarchical Cause-Effect Reasoning in Programmable Attractor Neural Networks., , , and . Int. J. Soc. Robotics, 15 (8): 1277-1295 (August 2023)Compositional memory in attractor neural networks with one-step learning., , , and . Neural Networks, (2021)Assessment of a Novel Virtual Environment for Examining Human Cognitive-Motor Performance During Execution of Action Sequences., , , , , , , , , and 4 other author(s). HCI (9), volume 13310 of Lecture Notes in Computer Science, page 361-380. Springer, (2022)Quantifying Cognitive Workload in Simulated Flight Using Passive, Dry EEG Measurements., , , , , , and . IEEE Trans. Cognitive and Developmental Systems, 10 (2): 373-383 (2018)