Areas of interest: 

Computational neuroscience, artificial intelligence, brain-computer interfaces

BrainNet: A Multi-Person Brain-to-Brain Interface for Direct Collaboration Between Brains

L. Jiang, A. Stocco, D.M. Losey, J.A. Abernethy, C.S. Prat, R.P.N. RaoNature Scientific Reports 9:6115, 2019.

Modeling other minds: Bayesian inference explains human choices in group decision-making.

K. Khalvati, S.A. Park, S. Mirbagheri, R. Philippe, M. Sestito, J.C. Dreher, R.P.N. RaoSci Adv 5:11, 2019.

The Indus Script and Economics. A Role for Indus Seals and Tablets in Rationing and Administration of Labor

R.P.N. RaoWalking with the Unicorn: Social Organization and Material Culture in Ancient South AsiaArchaeopress, 2018.

AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video

N.X.R. Wang, A. Farhadi, R.P.N. Rao, B.W. BruntonAAAI: 32nd Conference on Artificial Intelligence, 2018.

Accelerating Imitation Learning through Crowdsourcing

M. Chung, M. Forbes, M. Cakmak, R.P.N. RaoIEEE International Conference on Robotics and Automation (ICRA), 2014.

Probabilistic co-adaptive brain–computer interfacing

M.J. Bryan, S.A. Martin, W. Cheung, R.P.N. RaoJournal of Neural Engineering 10:6, 2013.

Distributed cortical adaptation during learning of a brain–computer interface task

J.D. Wander, T. Blakely, K.J. Miller, K.E. Weaver, L.A. Johnson, J.D. Olson, E.E. Fetz, R.P.N. Rao, J.G. OjemannPNAS, 2013.

Cortically-Derived Error-Signals During BCI Use

J.D. Wander, J.D. Olson, J.G. Ojemann, R.P.N. RaoFifth International Brain-Computer Interface Meeting, 2013.

Automatic extraction of command hierarchies for adaptive brain-robot interfacing

M. Bryan, G. Nicoll, V. Thomas, M. Chung, J.R. Smith, R.P.N. RaoRobotics and Automation (ICRA), 2012 IEEE International Conference on, 2012.

Interactive Hierarchical Brain-Computer Interfacing: Uncertainty-Based Interaction between Humans and Robots

M. Chung, M. Bryan, W. Cheung, R. Scherer, R.P.N. RaoFifth International Brain-Computer Interface Conference 2011 (BCI2011), 2011.

Gaze Following as Goal Inference: A Bayesian Model

A. Friesen, R. RaoConference of the Cognitive Science Society, 2011.

A Hierarchical Architecture for Adaptive Brain-Computer Interfacing

Mike Chung, W. Cheung, R. Scherer, R. RaoInternational Joint Conference on Artificial Intelligence, 2011.

Predictive Coding

Y. Huang, R. RaoWiley Interdisciplinary Reviews, 2011.

An Adaptive Brain-Computer Interface for Humanoid Robot Control

M. Bryan, J. Green,  Mike Chung, R. Scherer, L. Chang, J.R. Smith, R. RaoIEEE Humanoids, 2011.

A rational decision making framework for inhibitory control

P. Shenoy, R. Rao, A. YuAnnual Conference on Neural Information Processing Systems, 2010.

Imitation Learning with Hierarchical Actions

A. Friesen, R. RaoIEEE International Conference on Development and Learning, 2010.