Contact
206-685-9141
raocs.washington.edu
Areas of interest:
Computational neuroscience, artificial intelligence, brain-computer interfaces
BrainNet: A Multi-Person Brain-to-Brain Interface for Direct Collaboration Between Brains
Nature Scientific Reports 9:6115, 2019.
, Towards neural co-processors for the brain: combining decoding and encoding in brain–computer interfaces
Current Opinion in Neurobiology 55, 2019.
, The Indus Script and Economics. A Role for Indus Seals and Tablets in Rationing and Administration of Labor
Walking with the Unicorn: Social Organization and Material Culture in Ancient South Asia, Archaeopress, 2018.
, AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video
AAAI: 32nd Conference on Artificial Intelligence, 2018.
, Accelerating Imitation Learning through Crowdsourcing
IEEE International Conference on Robotics and Automation (ICRA), 2014.
, Probabilistic co-adaptive brain–computer interfacing
Journal of Neural Engineering 10:6, 2013.
, Cortically-Derived Error-Signals During BCI Use
Fifth International Brain-Computer Interface Meeting, 2013.
, Automatic extraction of command hierarchies for adaptive brain-robot interfacing
Robotics and Automation (ICRA), 2012 IEEE International Conference on, 2012.
, Interactive Hierarchical Brain-Computer Interfacing: Uncertainty-Based Interaction between Humans and Robots
Fifth International Brain-Computer Interface Conference 2011 (BCI2011), 2011.
, Gaze Following as Goal Inference: A Bayesian Model
Conference of the Cognitive Science Society, 2011.
, A Hierarchical Architecture for Adaptive Brain-Computer Interfacing
International Joint Conference on Artificial Intelligence, 2011.
, Predictive Coding
Wiley Interdisciplinary Reviews, 2011.
, An Adaptive Brain-Computer Interface for Humanoid Robot Control
IEEE Humanoids, 2011.
, A rational decision making framework for inhibitory control
Annual Conference on Neural Information Processing Systems, 2010.
, Decision Making under Uncertainty: A Neural Model based on Partially Observable Markov Decision Processes
Frontiers in Computational Neuroscience, 2010.
, Imitation Learning with Hierarchical Actions
IEEE International Conference on Development and Learning, 2010.
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