Rajesh P. N. Rao

ORCID

Publication Activity (10 Years)

Years Active: 1982-2024
Publications (10 Years): 54

Top Venues

Publications

Linxing Preston Jiang, Rajesh P. N. Rao
Dynamic predictive coding: A model of hierarchical sequence learning and prediction in the neocortex. PLoS Comput. Biol. 20 (2) (2024)
Rajesh P. N. Rao, Dimitrios C. Gklezakos, Vishwas Sathish
Active Predictive Coding: A Unifying Neural Model for Active Perception, Compositional Learning, and Hierarchical Planning. Neural Comput. 36 (1) (2024)
Shirui Chen, Linxing Preston Jiang, Rajesh P. N. Rao, Eric Shea-Brown
Expressive probabilistic sampling in recurrent neural networks. CoRR (2023)
Nigini Oliveira, Jasmine Li, Koosha Khalvati, Rodolfo Cortes Barragan, Katharina Reinecke, Andrew N. Meltzoff, Rajesh P. N. Rao
Culturally-Attuned Moral Machines: Implicit Learning of Human Value Systems by AI through Inverse Reinforcement Learning. CoRR (2023)
Shirui Chen, Linxing Jiang, Rajesh P. N. Rao, Eric Shea-Brown
Expressive probabilistic sampling in recurrent neural networks. NeurIPS (2023)
Satpreet H. Singh, Floris van Breugel, Rajesh P. N. Rao, Bingni W. Brunton
Emergent behaviour and neural dynamics in artificial agents tracking odour plumes. Nat. Mac. Intell. 5 (1) (2023)
Rajesh P. N. Rao, Dimitrios C. Gklezakos, Vishwas Sathish
Active Predictive Coding: A Unified Neural Framework for Learning Hierarchical World Models for Perception and Planning. CogSci (2023)
Linxing Preston Jiang, Rajesh P. N. Rao
Dynamic Predictive Coding Explains Both Prediction and Postdiction in Visual Motion Perception. CogSci (2023)
Tommaso Salvatori, Ankur Arjun Mali, Christopher L. Buckley, Thomas Lukasiewicz, Rajesh P. N. Rao, Karl J. Friston, Alexander Ororbia
Brain-Inspired Computational Intelligence via Predictive Coding. CoRR (2023)
Cailin Winston, Caleb Winston, Chloe N. Winston, Claris Winston, Cleah Winston, Rajesh P. N. Rao, René Just
Repairing Brain-Computer Interfaces with Fault-Based Data Acquisition. CoRR (2022)
Courtnie Paschall, Rajesh P. N. Rao, Jason Hauptmann, Jeffrey G. Ojemann, Jeffrey Herron
An Immersive Virtual Reality Platform Integrating Human ECOG & sEEG: Implementation & Noise Analysis. EMBC (2022)
Matthew J. Bryan, Linxing Preston Jiang, Rajesh P. N. Rao
Neural Co-Processors for Restoring Brain Function: Results from a Cortical Model of Grasping. CoRR (2022)
Courtnie Jean Paschall, Jason S. Hauptman, Rajesh P. N. Rao, Jeffrey G. Ojemann, Jeffrey Herron
Touching the Void: Intracranial Stimulation for NeuroHaptic Feedback in Virtual Reality. SMC (2022)
Ares Fisher, Rajesh P. N. Rao
Recursive Neural Programs: Variational Learning of Image Grammars and Part-Whole Hierarchies. CoRR (2022)
Dimitrios C. Gklezakos, Rishi Jha, Rajesh P. N. Rao
Hyper-Universal Policy Approximation: Learning to Generate Actions from a Single Image using Hypernets. CoRR (2022)
Cailin Winston, Caleb Winston, Chloe N. Winston, Claris Winston, Cleah Winston, Rajesh P. N. Rao, René Just
Repairing Brain-Computer Interfaces with Fault-Based Data Acquisition. ICSE (2022)
Dimitrios C. Gklezakos, Rajesh P. N. Rao
Active Predictive Coding Networks: A Neural Solution to the Problem of Learning Reference Frames and Part-Whole Hierarchies. CoRR (2022)
Samantha Sun, Lila H. Levinson, Courtnie Jean Paschall, Jeffrey Herron, Kurt E. Weaver, Jason Hauptman, Andrew Ko, Jeffrey G. Ojemann, Rajesh P. N. Rao
Human intracortical responses to varying electrical stimulation conditions are separable in low-dimensional subspaces. SMC (2022)
Rajesh P. N. Rao, Dimitrios C. Gklezakos, Vishwas Sathish
Active Predictive Coding: A Unified Neural Framework for Learning Hierarchical World Models for Perception and Planning. CoRR (2022)
Maurice Montag, Courtnie Paschall, Jeffrey G. Ojemann, Rajesh P. N. Rao, Jeffrey Herron
A Platform for Virtual Reality Task Design with Intracranial Electrodes. EMBC (2021)
Satpreet Harcharan Singh, Floris van Breugel, Rajesh P. N. Rao, Bingni Wen Brunton
Emergent behavior and neural dynamics in artificial agents tracking turbulent plumes. CoRR (2021)
Samantha Sun, Linxing Preston Jiang, Steven M. Peterson, Jeffrey Herron, Kurt E. Weaver, Andrew L. Ko, Jeffrey G. Ojemann, Rajesh P. N. Rao
Unsupervised Sleep and Wake State Identification in Long-Term Electrocorticography Recordings. EMBC (2020)
Satpreet H. Singh, Floris van Breugel, Rajesh P. N. Rao, Bingni W. Brunton
Understanding biological plume tracking behavior using deep reinforcement-learning. ALIFE (2020)
Satpreet H. Singh, Steven M. Peterson, Rajesh P. N. Rao, Bingni W. Brunton
Towards naturalistic human neuroscience and neuroengineering: behavior mining in long-term video and neural recordings. CoRR (2020)
Rajesh P. N. Rao
Brain Co-Processors: Using AI to Restore and Augment Brain Function. CoRR (2020)
Prashant Rangarajan, Rajesh P. N. Rao
Estimation of Vector Autoregressive Parameters and Granger Causality From Noisy Multichannel Data. IEEE Trans. Biomed. Eng. 66 (8) (2019)
Linxing Jiang, Andrea Stocco, Darby M. Losey, Justin A. Abernethy, Chantel S. Prat, Rajesh P. N. Rao
BrainNet: A Multi-Person Brain-to-Brain Interface for Direct Collaboration Between Brains. CoRR (2018)
Rajesh P. N. Rao
The Indus Script and Economics. A Role for Indus Seals and Tablets in Rationing and Administration of Labor. CoRR (2018)
Rajesh P. N. Rao
Towards Neural Co-Processors: Combining Neural Decoding and Encoding in Brain-Computer Interfaces. CoRR (2018)
Kaiyu Zheng, Andrzej Pronobis, Rajesh P. N. Rao
Learning Graph-Structured Sum-Product Networks for Probabilistic Semantic Maps. AAAI (2018)
Nancy Xin Ru Wang, Ali Farhadi, Rajesh P. N. Rao, Bingni W. Brunton
AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video. AAAI (2018)
Katie Ly, Jing Wu, Lila Levinson, Benjamin R. Shuman, Katherine M. Steele, Jeffrey G. Ojemann, Rajesh P. N. Rao
Electrocorticographic Dynamics Predict Sustained Grasping and Upper-Limb Kinetic Output. SMC (2018)
Jing Wu, Kaitlyn Casimo, David J. Caldwell, Rajesh P. N. Rao, Jeffrey G. Ojemann
Electrocorticographic Dynamics Predict Visually Guided Motor Imagery of Grasp Shaping. CoRR (2017)
Jing Wu, Kaitlyn Casimo, David J. Caldwell, Rajesh P. N. Rao, Jeffrey G. Ojemann
Electrocorticographic dynamics predict visually guided motor imagery of grasp shaping. NER (2017)
Nancy Xin Ru Wang, Ali Farhadi, Rajesh P. N. Rao, Bingni W. Brunton
AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video. CoRR (2017)
Kaiyu Zheng, Andrzej Pronobis, Rajesh P. N. Rao
Learning Semantic Maps with Topological Spatial Relations Using Graph-Structured Sum-Product Networks. CoRR (2017)
Dimitrios C. Gklezakos, Rajesh P. N. Rao
Transformational Sparse Coding. CoRR (2017)
Andrzej Pronobis, Rajesh P. N. Rao
Learning deep generative spatial models for mobile robots. IROS (2017)
David J. Caldwell, Jing Wu, Kaitlyn Casimo, Jeffrey G. Ojemann, Rajesh P. N. Rao
Interactive web application for exploring matrices of neural connectivity. NER (2017)
Jimmy Baraglia, Maya Cakmak, Yukie Nagai, Rajesh P. N. Rao, Minoru Asada
Efficient human-robot collaboration: When should a robot take initiative? Int. J. Robotics Res. 36 (5-7) (2017)
Jeneva A. Cronin, Jing Wu, Kelly L. Collins, Devapratim Sarma, Rajesh P. N. Rao, Jeffrey G. Ojemann, Jared D. Olson
Task-Specific Somatosensory Feedback via Cortical Stimulation in Humans. IEEE Trans. Haptics 9 (4) (2016)
Chet T. Moritz, Patrick Ruther, Sara Goering, Alfred Stett, Tonio Ball, Wolfram Burgard, Eric H. Chudler, Rajesh P. N. Rao
New Perspectives on Neuroengineering and Neurotechnologies: NSF-DFG Workshop Report. IEEE Trans. Biomed. Eng. 63 (7) (2016)
Andrzej Pronobis, Rajesh P. N. Rao
Learning Deep Generative Spatial Models for Mobile Robots. CoRR (2016)
Jeremiah D. Wander, Devapratim Sarma, Lise A. Johnson, Eberhard E. Fetz, Rajesh P. N. Rao, Jeffrey G. Ojemann, Felix Darvas
Cortico-Cortical Interactions during Acquisition and Use of a Neuroprosthetic Skill. PLoS Comput. Biol. 12 (8) (2016)
Jing Wu, Benjamin R. Shuman, Bingni W. Brunton, Katherine M. Steele, Jared D. Olson, Rajesh P. N. Rao, Jeffrey G. Ojemann
Multistep Model for Predicting Upper-Limb 3D Isometric Force Application from Pre-Movement Electrocorticographic Features. CoRR (2016)
Michael Jae-Yoon Chung, Andrzej Pronobis, Maya Cakmak, Dieter Fox, Rajesh P. N. Rao
Autonomous question answering with mobile robots in human-populated environments. IROS (2016)
Jing Wu, Benjamin R. Shuman, Bingni W. Brunton, Katherine M. Steele, Jared D. Olson, Rajesh P. N. Rao, Jeffrey G. Ojemann
Multistep model for predicting upper-limb 3D isometric force application from pre-movement electrocorticographic features. EMBC (2016)
Jimmy Baraglia, Maya Cakmak, Yukie Nagai, Rajesh P. N. Rao, Minoru Asada
Initiative in Robot Assistance during Collaborative Task Execution. HRI (2016)
Yanping Huang, Rajesh P. N. Rao
Bayesian Inference and Online Learning in Poisson Neuronal Networks. Neural Comput. 28 (8) (2016)
Darby M. Losey, Andrea Stocco, Justin A. Abernethy, Rajesh P. N. Rao
Navigating a 2D Virtual World Using Direct Brain Stimulation. Frontiers Robotics AI 3 (2016)
Kai J. Miller, Gerwin Schalk, Dora Hermes, Jeffrey G. Ojemann, Rajesh P. N. Rao
Spontaneous Decoding of the Timing and Content of Human Object Perception from Cortical Surface Recordings Reveals Complementary Information in the Event-Related Potential and Broadband Spectral Change. PLoS Comput. Biol. 12 (1) (2016)
Michael Jae-Yoon Chung, Andrzej Pronobis, Maya Cakmak, Dieter Fox, Rajesh P. N. Rao
Designing information gathering robots for human-populated environments. IROS (2015)
Michael Jae-Yoon Chung, Andrzej Pronobis, Maya Cakmak, Dieter Fox, Rajesh P. N. Rao
Exploring the Potential of Information Gathering Robots. HRI (Extended Abstracts) (2015)
Maxwell Forbes, Rajesh P. N. Rao, Luke Zettlemoyer, Maya Cakmak
Robot Programming by Demonstration with situated spatial language understanding. ICRA (2015)
Yanping Huang, Rajesh P. N. Rao
Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks. NIPS (2014)
Maxwell Forbes, Michael Jae-Yoon Chung, Maya Cakmak, Rajesh P. N. Rao
Robot Programming by Demonstration with Crowdsourced Action Fixes. HCOMP (2014)
Michael Jae-Yoon Chung, Maxwell Forbes, Maya Cakmak, Rajesh P. N. Rao
Accelerating imitation learning through crowdsourcing. ICRA (2014)
Kai J. Miller, Christopher J. Honey, Dora Hermes, Rajesh P. N. Rao, Marcel den Nijs, Jeffrey G. Ojemann
Broadband changes in the cortical surface potential track activation of functionally diverse neuronal populations. NeuroImage 85 (2014)
Matthew Bryan, Griffin Nicoll, Vibinash Thomas, Mike Chung, Joshua R. Smith, Rajesh P. N. Rao
Automatic extraction of command hierarchies for adaptive brain-robot interfacing. ICRA (2012)
Yanping Huang, Abram L. Friesen, Timothy D. Hanks, Michael N. Shadlen, Rajesh P. N. Rao
How Prior Probability Influences Decision Making: A Unifying Probabilistic Model. NIPS (2012)
Xu Miao, Rajesh P. N. Rao
Fast Structured Prediction Using Large Margin Sigmoid Belief Networks. Int. J. Comput. Vis. 99 (3) (2012)
Xu Miao, Ali Rahimi, Rajesh P. N. Rao
Complementary Kernel Density Estimation. Pattern Recognit. Lett. 33 (10) (2012)
Willy Cheung, Devapratim Sarma, Reinhold Scherer, Rajesh P. N. Rao
Simultaneous brain-computer interfacing and motor control: Expanding the reach of non-invasive BCIs. EMBC (2012)
Mike Chung, Willy Cheung, Reinhold Scherer, Rajesh P. N. Rao
A Hierarchical Architecture for Adaptive Brain-Computer Interfacing. IJCAI (2011)
Reinhold Scherer, Elisabeth C. V. Friedrich, Brendan Z. Allison, Markus Pröll, Mike Chung, Willy Cheung, Rajesh P. N. Rao, Christa Neuper
Non-invasive Brain-Computer Interfaces: Enhanced Gaming and Robotic Control. IWANN (1) (2011)
Abram L. Friesen, Rajesh P. N. Rao
Gaze Following as Goal Inference: A Bayesian Model. CogSci (2011)
Matthew Bryan, Joshua Green, Mike Chung, Lillian Y. Chang, Reinhold Scherer, Joshua R. Smith, Rajesh P. N. Rao
An adaptive brain-computer interface for humanoid robot control. Humanoids (2011)
Xu Miao, Rajesh P. N. Rao
Large Margin Boltzmann Machines and Large Margin Sigmoid Belief Networks CoRR (2010)
Rajesh P. N. Rao, Nisha Yadav, Mayank N. Vahia, Hrishikesh Joglekar, Ronojoy Adhikari, Iravatham Mahadevan
Entropy, the Indus Script, and Language: A Reply to R. Sproat. Comput. Linguistics 36 (4) (2010)
Abram L. Friesen, Rajesh P. N. Rao
Imitation learning with hierarchical actions. ICDL (2010)
Rajesh P. N. Rao
Probabilistic Analysis of an Ancient Undeciphered Script. Computer 43 (4) (2010)
Andrew N. Meltzoff, Rechele Brooks, Aaron P. Shon, Rajesh P. N. Rao
"Social" robots are psychological agents for infants: A test of gaze following. Neural Networks 23 (8-9) (2010)
Rajesh P. N. Rao, Reinhold Scherer
Brain-Computer Interfacing [In the Spotlight]. IEEE Signal Process. Mag. 27 (4) (2010)
Pradeep Shenoy, Rajesh P. N. Rao, Angela J. Yu
A rational decision making framework for inhibitory control. NIPS (2010)
Rawichote Chalodhorn, David B. Grimes, Keith Grochow, Rajesh P. N. Rao
Learning to Walk by Imitation in Low-Dimensional Subspaces. Adv. Robotics 24 (1-2) (2010)
Rajesh P. N. Rao
Decision Making Under Uncertainty: A Neural Model Based on Partially Observable Markov Decision Processes. Frontiers Comput. Neurosci. 4 (2010)
Nisha Yadav, Hrishikesh Joglekar, Rajesh P. N. Rao, Mayank N. Vahia, Iravatham Mahadevan, Ronojoy Adhikari
Statistical analysis of the Indus script using $n$-grams CoRR (2009)
Xu Miao, Rajesh P. N. Rao
Large Margin Boltzmann Machines. IJCAI (2009)
Rawichote Chalodhorn, Rajesh P. N. Rao
Using eigenposes for lossless periodic human motion imitation. IROS (2009)
Rajesh P. N. Rao, Nisha Yadav, Mayank N. Vahia, Hrishikesh Joglekar, Ronojoy Adhikari, Iravatham Mahadevan
A Markov model of the Indus script. Proc. Natl. Acad. Sci. USA 106 (33) (2009)
David B. Grimes, Desney S. Tan, Scott E. Hudson, Pradeep Shenoy, Rajesh P. N. Rao
Feasibility and pragmatics of classifying working memory load with an electroencephalograph. CHI (2008)
Pradeep Shenoy, Kai J. Miller, Jeffrey G. Ojemann, Rajesh P. N. Rao
Generalized Features for Electrocorticographic BCIs. IEEE Trans. Biomed. Eng. 55 (1) (2008)
Pradeep Shenoy, Kai J. Miller, Beau Crawford, Rajesh P. N. Rao
Online Electromyographic Control of a Robotic Prosthesis. IEEE Trans. Biomed. Eng. 55 (3) (2008)
David B. Grimes, Rajesh P. N. Rao
Learning nonparametric policies by imitation. IROS (2008)
Kai J. Miller, Pradeep Shenoy, Marcel den Nijs, Larry B. Sorensen, Rajesh P. N. Rao, Jeffrey G. Ojemann
Beyond the Gamma Band: The Role of High-Frequency Features in Movement Classification. IEEE Trans. Biomed. Eng. 55 (5) (2008)
Aaron P. Shon, Joshua J. Storz, Rajesh P. N. Rao
Towards a Real-Time Bayesian Imitation System for a Humanoid Robot. ICRA (2007)
Aaron P. Shon, Deepak Verma, Rajesh P. N. Rao
Active Imitation Learning. AAAI (2007)
Xu Miao, Rajesh P. N. Rao
Learning the Lie Groups of Visual Invariance. Neural Comput. 19 (10) (2007)
Aaron P. Shon, Joshua J. Storz, Andrew N. Meltzoff, Rajesh P. N. Rao
A Cognitive Model of Imitative Development in Humans and Machines. Int. J. Humanoid Robotics 4 (2) (2007)
Rawichote Chalodhorn, David B. Grimes, Keith Grochow, Rajesh P. N. Rao
Learning to Walk through Imitation. IJCAI (2007)
Jeffrey B. Cole, David B. Grimes, Rajesh P. N. Rao
Learning full-body motions from monocular vision: dynamic imitation in a humanoid robot. IROS (2007)
Kai J. Miller, Marcel den Nijs, Pradeep Shenoy, John W. Miller, Rajesh P. N. Rao, Jeffrey G. Ojemann
Real-time functional brain mapping using electrocorticography. NeuroImage 37 (2) (2007)
Deepak Verma, Rajesh P. N. Rao
Imitation Learning Using Graphical Models. ECML (2007)
Rawichote Chalodhorn, David B. Grimes, Gabriel Y. Maganis, Rajesh P. N. Rao, Minoru Asada
Learning Humanoid Motion Dynamics through Sensory-motor Mapping in Reduced Dimensional Spaces. ICRA (2006)
David B. Grimes, Daniel R. Rashid, Rajesh P. N. Rao
Learning Nonparametric Models for Probabilistic Imitation. NIPS (2006)
Deepak Verma, Rajesh P. N. Rao
Planning and Acting in Uncertain Environments using Probabilistic Inference. IROS (2006)
Matthew W. Hoffman, David B. Grimes, Aaron P. Shon, Rajesh P. N. Rao
A probabilistic model of gaze imitation and shared attention. Neural Networks 19 (3) (2006)
David B. Grimes, Rawichote Chalodhorn, Rajesh P. N. Rao
Dynamic Imitation in a Humanoid Robot through Nonparametric Probabilistic Inference. Robotics: Science and Systems (2006)
Aaron P. Shon, Keith Grochow, Rajesh P. N. Rao
Robotic imitation from human motion capture using Gaussian processes. Humanoids (2005)
Chris L. Baker, Aaron P. Shon, Rajesh P. N. Rao
Learning temporal clusters with synaptic facilitation and lateral inhibition. Neurocomputing (2005)

Rajesh P. N. Rao.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Rajesh P. N. Rao