Rajesh P. N. Rao

发表

Perceptual Homing by an Autonomous Mobile Robot using Sparse Self-Organizing Sensory-Motor Maps

Rajesh P. N. Rao, Olac Fuentes, O. Fuentes, 2007 .

Learning the Lie Groups of Visual Invariance

Rajesh P. N. Rao, Xu Miao, Xu Miao, 2007, Neural Computation.

Learning humanoid motion dynamics through sensory-motor mapping in reduced dimensional spaces

Minoru Asada, Rajesh P. N. Rao, Rawichote Chalodhorn, 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

Learning Nonparametric Models for Probabilistic Imitation

Rajesh P. N. Rao, David B. Grimes, Daniel R. Rashid, 2006, NIPS.

Robotic imitation from human motion capture using Gaussian processes

Rajesh P. N. Rao, Keith Grochow, Aaron P. Shon, 2005, 5th IEEE-RAS International Conference on Humanoid Robots, 2005..

A Bilinear Model for Sparse Coding

Rajesh P. N. Rao, David B. Grimes, D. Grimes, 2002, NIPS.

Brain-Computer Interfacing: Conclusion

Rajesh P. N. Rao, 2013 .

Spike timing reliability in the prefrontal cortex depends on the frequency content of its synaptic i

Rajesh P. N. Rao, Jean-Marc Fellous, Ada Houweling, 1999 .

Broadband changes in the cortical surface potential track activation of functionally diverse neuronal populations

Rajesh P. N. Rao, Christopher J. Honey, Jeffrey G. Ojemann, 2014, NeuroImage.

Interaction with Virtual and Augmented Reality Environments using Non-Invasive Brain-Computer Interfacing

Rajesh P. N. Rao, Reinhold Scherer, Willy Cheung, 2010 .

Bayesian Computation in Recurrent Neural Circuits

Rajesh P. N. Rao, 2004, Neural Computation.

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

Rajesh P. N. Rao, Reinhold Scherer, Willy Cheung, 2011 .

Framework for real-time decoding of ECoG signals for controlling the anatomically correct test bed (ACT) hand

Rajesh P. N. Rao, Reinhold Scherer, Jeffrey G. Ojemann, 2011 .

A single-spike model of predictive coding

Rajesh P. N. Rao, Dana H. Ballard, Zuohua Zhang, 2000, Neurocomputing.

Brain-Computer Interfacing: An Introduction

Rajesh P. N. Rao, 2010 .

Large Margin Boltzmann Machines

Rajesh P. N. Rao, Xu Miao, 2009, IJCAI.

Towards a Real-Time Bayesian Imitation System for a Humanoid Robot

Rajesh P. N. Rao, Aaron P. Shon, Joshua J. Storz, 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

Towards Neural Co-Processors: Combining Neural Decoding and Encoding in Brain-Computer Interfaces pdf

Rajesh P. N. Rao, 2018, ArXiv.

Grounding Antonym Adjective Pairs through Interaction

Rajesh P. N. Rao, Maya Cakmak, Luke Zettlemoyer, 2014 .

Seeing Behind Occlusions

Rajesh P. N. Rao, Dana H. Ballard, D. Ballard, 1994, ECCV.

Brain-Computer Interfacing: Semi-Invasive BCIs

Rajesh P. N. Rao, 2013 .

Learning temporal clusters with synaptic facilitation and lateral inhibition

Rajesh P. N. Rao, Aaron P. Shon, Chris L. Baker, 2005, Neurocomputing.

Feasibility and pragmatics of classifying working memory load with an electroencephalograph

Desney S. Tan, Rajesh P. N. Rao, Scott E. Hudson, 2008, CHI.

Hierarchical Learning of Navigational Behaviors in an Autonomous Robot using a Predictive Sparse Distributed Memory

Rajesh P. N. Rao, Olac Fuentes, 1998, Auton. Robots.

Correlates of Attention in a Model of Dynamic Visual Recognition

Rajesh P. N. Rao, 1997, NIPS.

Goal-Based Imitation as Probabilistic Inference over Graphical Models

Rajesh P. N. Rao, Deepak Verma, D. Verma, 2005, NIPS.

Initiative in robot assistance during collaborative task execution

Minoru Asada, Maya Cakmak, Rajesh P. N. Rao, 2016, 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

Towards a Functional Theory of Vision Based on Visual Routines

Rajesh P. N. Rao, Dana H. Ballard, 1995, DAGM-Symposium.

Brain surface electrode co-registration using MRI and x-ray

Rajesh P. N. Rao, Adam O. Hebb, Jeffrey G. Ojemann, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Utilizing Subdermal Electrodes as a Noninvasive Alternative for Motor-Based BCIs

Rajesh P. N. Rao, Felix Darvas, Melissa M. Smith, 2018 .

Modeling Saccadic Targeting in Visual Search

Rajesh P. N. Rao, Gregory J. Zelinsky, Dana H. Ballard, 1995, NIPS.

Efficient Encoding of Natural Time Varying Images Produces Oriented Space-Time Receptive Fields

Rajesh P. N. Rao, Dana H. Ballard, D. Ballard, 1997 .

Probabilistic Gaze Imitation and Saliency Learning in a Robotic Head

Matthew W. Hoffman, Rajesh P. N. Rao, Shengli Zhou, 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

A Probabilistic Framework for Model-Based Imitation Learning

Rajesh P. N. Rao, David B. Grimes, Aaron P. Shon, 2004 .

Reinforcement Learning: An Introduction; R.S. Sutton, A.G. Barto (Eds.); MIT Press, Cambridge, MA, 1998, 380 pages, ISBN 0-262-19398-1, $42.00

Rajesh P. N. Rao, 2000 .

Spike-Timing-Dependent Hebbian Plasticity as Temporal Difference Learning

Rajesh P. N. Rao, Terrence J. Sejnowski, T. Sejnowski, 2001, Neural Computation.

Brain Co-Processors: Using AI to Restore and Augment Brain Function pdf

Rajesh P. N. Rao, 2020, Handbook of Neuroengineering.

Complementary Kernel Density Estimation

Rajesh P. N. Rao, Xu Miao, Ali Rahimi, 2012, Pattern Recognit. Lett..

Object indexing using an iconic sparse distributed memory

Rajesh P. N. Rao, Dana H. Ballard, D. Ballard, 1995, Proceedings of IEEE International Conference on Computer Vision.

Near-Instantaneous Classification of Perceptual States from Cortical Surface Recordings

Rajesh P. N. Rao, Gerwin Schalk, Jeffrey G. Ojemann, 2015, Brain-Computer Interface Research.

Estimation of Vector Autoregressive Parameters and Granger Causality From Noisy Multichannel Data

Rajesh P. N. Rao, Prashant Rangarajan, 2019, IEEE Transactions on Biomedical Engineering.

Pointing the way

Rajesh P. N. Rao, Dana H. Ballard, Mary Hayhoe, 1997 .

Brain-Computer Interfacing: Plate Section

Rajesh P. N. Rao, 2013 .

A Computational Model of Human Vision Based on Visual Routines

Rajesh P. N. Rao, Dana H. Ballard, D. Ballard, 1995 .

A Model-Based Goal-Directed Bayesian Framework for Imitation Learning in Humans and Machines

Rajesh P. N. Rao, Andrew N. Meltzoff, David B. Grimes, 2004 .

Hierarchical Learning of Navigational Behaviors in an Autonomous Robot using a Predictive Sparse Distributed Memory

Rajesh P. N. Rao, Olac Fuentes, O. Fuentes, 1998, Machine Learning.

Learning to Walk through Imitation

Rajesh P. N. Rao, Keith Grochow, Rawichote Chalodhorn, 2007, IJCAI.

An Active Vision Architecture Based on Iconic Representations

Rajesh P. N. Rao, Dana H. Ballard, D. Ballard, 1995, Artif. Intell..

Learning Semantic Maps with Topological Spatial Relations Using Graph-Structured Sum-Product Networks pdf

Rajesh P. N. Rao, Kaiyu Zheng, Andrzej Pronobis, 2017, ArXiv.

Investigating naturalistic hand movements by behavior mining in long-term video and neural recordings

Rajesh P. N. Rao, Bingni W. Brunton, Satpreet H. Singh, 2020 .

Simultaneous brain-computer interfacing and motor control: Expanding the reach of non-invasive BCIs

Rajesh P. N. Rao, Reinhold Scherer, Willy Cheung, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Robot Programming by Demonstration with situated spatial language understanding

Maya Cakmak, Rajesh P. N. Rao, Luke S. Zettlemoyer, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Upward Separation for FewP and Related Classes

Jörg Rothe, Osamu Watanabe, Rajesh P. N. Rao, 1994, Inf. Process. Lett..

A Model of Predictive Coding based on Spike Timing

Rajesh P. N. Rao, Dana H. Ballard, Zuohua Zhang, 1999 .

Learning Shared Latent Structure for Image Synthesis and Robotic Imitation

Rajesh P. N. Rao, Aaron Hertzmann, Keith Grochow, 2005, NIPS.

Towards naturalistic human neuroscience and neuroengineering: behavior mining in long-term video and neural recordings pdf

Rajesh P. N. Rao, Bingni W. Brunton, Satpreet H. Singh, 2020, ArXiv.

This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. 1 Online Electromyographic Control of a Robotic

Rajesh P. N. Rao, Pradeep Shenoy, Kai J. Miller, 2022 .

Transformational Sparse Coding pdf

Rajesh P. N. Rao, Dimitrios C. Gklezakos, 2016, ArXiv.

A probabilistic model of gaze imitation and shared attention

Matthew W. Hoffman, Rajesh P. N. Rao, David B. Grimes, 2006, Neural Networks.

Learning Saccadic Eye Movements Using Multiscale Spatial Filters

Rajesh P. N. Rao, Dana H. Ballard, D. Ballard, 1994, NIPS.

Predictive Sequence Learning in Recurrent Neocortical Circuits

Rajesh P. N. Rao, Terrence J. Sejnowski, T. Sejnowski, 1999, NIPS.

Navigating a 2D Virtual World Using Direct Brain Stimulation

Rajesh P. N. Rao, Andrea Stocco, Darby M. Losey, 2016, Front. Robot. AI.

A Cognitive Model of Imitative Development in Humans and Machines

Rajesh P. N. Rao, Andrew N. Meltzoff, Aaron P. Shon, 2007, Int. J. Humanoid Robotics.

Imitation learning with hierarchical actions

Rajesh P. N. Rao, Abram L. Friesen, A. Friesen, 2010, 2010 IEEE 9th International Conference on Development and Learning.

Learning temporal patterns by redistribution of synaptic efficacy

Rajesh P. N. Rao, Aaron P. Shon, 2003, Neurocomputing.

Cortical electrode localization from X-rays and simple mapping for electrocorticographic research: The “Location on Cortex” (LOC) package for MATLAB

Rajesh P. N. Rao, Adam O. Hebb, Scott Makeig, 2007, Journal of Neuroscience Methods.

Hierarchical Bayesian Inference in Networks of Spiking Neurons

Rajesh P. N. Rao, 2004, NIPS.

CHAPTER 91 – Probabilistic Models of Attention Based on Iconic Representations and Predictive Coding

Rajesh P. N. Rao, Dana H. Ballard, D. Ballard, 2005 .

A rational decision making framework for inhibitory control

Rajesh P. N. Rao, Pradeep Shenoy, Angela J. Yu, 2010, NIPS.

Dynamic Imitation in a Humanoid Robot through Nonparametric Probabilistic Inference

Rajesh P. N. Rao, Rawichote Chalodhorn, David B. Grimes, 2006, Robotics: Science and Systems.

Accelerating imitation learning through crowdsourcing

Maya Cakmak, Rajesh P. N. Rao, Maxwell Forbes, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Task-Specific Somatosensory Feedback via Cortical Stimulation in Humans

Jing Wu, Rajesh P. N. Rao, Jeffrey G. Ojemann, 2016, IEEE Transactions on Haptics.

Non-invasive Brain-Computer Interfaces: Enhanced Gaming and Robotic Control

Brendan Z. Allison, Rajesh P. N. Rao, Christa Neuper, 2011, IWANN.

Graphical Models for Planning and Imitation in Uncertain Environments

Rajesh P. N. Rao, Deepak Verma, D. Verma, 2005 .

Electrocorticographic dynamics predict visually guided motor imagery of grasp shaping

Jing Wu, Rajesh P. N. Rao, Jeffrey G. Ojemann, 2017, 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER).

Large Margin Boltzmann Machines and Large Margin Sigmoid Belief Networks pdf

Rajesh P. N. Rao, Xu Miao, Xu Miao, 2010, ArXiv.

Exploring the Cortical Dynamics of Learning by Leveraging BCI Paradigms

Rajesh P. N. Rao, Jeffrey G. Ojemann, Kai J. Miller, 2013 .

Bidirectional and Recurrent BCIs

Rajesh P. N. Rao, 2013 .

Real-Time Classification of Electromyographic Signals for Robotic Control

Rajesh P. N. Rao, Pradeep Shenoy, Kai J. Miller, 2005, AAAI.

Learning Actions through Imitation and Exploration: Towards Humanoid Robots That Learn from Humans

Rajesh P. N. Rao, David B. Grimes, D. Grimes, 2009, Creating Brain-Like Intelligence.

Probabilistic Analysis of an Ancient Undeciphered Script

Rajesh P. N. Rao, Rajesh P. N. Rao, 2010, Computer.

Bayesian Inference and Online Learning in Poisson Neuronal Networks

Rajesh P. N. Rao, Yanping Huang, Yanping Huang, 2016, Neural Computation.

Multistep model for predicting upper-limb 3D isometric force application from pre-movement electrocorticographic features

Jing Wu, Benjamin R. Shuman, Katherine M. Steele, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Active Imitation Learning

Rajesh P. N. Rao, Aaron P. Shon, Deepak Verma, 2007, AAAI.

Electrocorticographic Dynamics Predict Sustained Grasping and Upper-Limb Kinetic Output

Jing Wu, Benjamin R. Shuman, Katherine M. Steele, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

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

Rajesh P. N. Rao, 2018, ArXiv.

Brain-Computer Interfacing by Rajesh P. N. Rao

Rajesh P. N. Rao, 2013 .

Multiscale filter bank approach to camera-movement control in active vision systems

Rajesh P. N. Rao, Dana H. Ballard, D. Ballard, 1994, Other Conferences.

Learning to Walk by Imitation in Low-Dimensional Subspaces

Rajesh P. N. Rao, Keith Grochow, Rawichote Chalodhorn, 2010, Adv. Robotics.

Using eigenposes for lossless periodic human motion imitation

Rajesh P. N. Rao, Rawichote Chalodhorn, R. Chalodhorn, 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Learning deep generative spatial models for mobile robots

Rajesh P. N. Rao, Andrzej Pronobis, Andrzej Pronobis, 2016, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Bayesian Computation in Recurrent Cortical Circuits

Rajesh P. N. Rao, 2002 .

Brain-Computer Interfacing: Major Types of BCIs

Rajesh P. N. Rao, 2013 .

"Social" robots are psychological agents for infants: A test of gaze following

Rajesh P. N. Rao, Andrew N. Meltzoff, Aaron P. Shon, 2010, Neural Networks.

Statistical Analysis of the Indus Script Using n-Grams

Rajesh P. N. Rao, Nisha Yadav, Rajesh P. N. Rao, 2009, PloS one.

Decision Making Under Uncertainty: A Neural Model Based on Partially Observable Markov Decision Processes

Rajesh P. N. Rao, Rajesh P. N. Rao, 2010, Front. Comput. Neurosci..

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

Rajesh P. N. Rao, Andrea Stocco, Linxing Jiang, 2018, ArXiv.

Non-invasive detection of high gamma band activity during motor imagery

Rajesh P. N. Rao, Kurt E. Weaver, Thomas J. Grabowski, 2014, Front. Hum. Neurosci..

Brain-computer interface research at the university of washington

Rajesh P. N. Rao, Yoky Matsuoka, Reinhold Scherer, 2009 .

Cortico-Cortical Interactions during Acquisition and Use of a Neuroprosthetic Skill

Rajesh P. N. Rao, Jeffrey G. Ojemann, Eberhard E. Fetz, 2016, PLoS Comput. Biol..

Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks

Rajesh P. N. Rao, Yanping Huang, Yanping Huang, 2014, NIPS.

Optimal Smoothing in Visual Motion Perception

Rajesh P. N. Rao, Terrence J. Sejnowski, David M. Eagleman, 2001, Neural Computation.

Learning Navigational Behaviors using a Predictive Sparse Distributed Memory

Rajesh P. N. Rao, Olac Fuentes, O. Fuentes, 1996 .

Dynamic Model of Visual Recognition Predicts Neural Response Properties in the Visual Cortex

Rajesh P. N. Rao, Dana H. Ballard, D. Ballard, 1997, Neural Computation.

Reward Optimization in the Primate Brain: A Probabilistic Model of Decision Making under Uncertainty

Rajesh P. N. Rao, Yanping Huang, Yanping Huang, 2013, PloS one.

Cortico-cortical dynamics and learning during visual recognition: a computational model

Rajesh P. N. Rao, Dana H. Ballard, D. Ballard, 1997 .

Learning full-body motions from monocular vision: dynamic imitation in a humanoid robot

Rajesh P. N. Rao, David B. Grimes, Jeffrey B. Cole, 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Direct Electrical Stimulation in Electrocorticographic Brain–Computer Interfaces: Enabling Technologies for Input to Cortex

Rajesh P. N. Rao, David J. Caldwell, Jeffrey G. Ojemann, 2019, Front. Neurosci..

Learning to Imitate Human Actions through Eigenposes

Rajesh P. N. Rao, Rawichote Chalodhorn, R. Chalodhorn, 2010, From Motor Learning to Interaction Learning in Robots.

Non-Manual Control Devices: Direct Brain-Computer Interaction

Rajesh P. N. Rao, Reinhold Scherer, Reinhold Scherer, 2010 .

Generalized neural decoders for transfer learning across participants and recording modalities

Rajesh P. N. Rao, Bingni W. Brunton, Zoe Steine-Hanson, 2020, bioRxiv.

Learning dynamic humanoid motion using predictive control in low dimensional subspaces

Rajesh P. N. Rao, Rawichote Chalodhorn, David B. Grimes, 2005, 5th IEEE-RAS International Conference on Humanoid Robots, 2005..

Top-Down Gaze Targeting for Space-Variant Active Vision

Rajesh P. N. Rao, 2007 .

Cortical Mechanisms of Visual Recognition and Learning: A Hierarchical Kalman Filter Model

Rajesh P. N. Rao, 2007 .

Unsupervised Sleep and Wake State Identification in Long-Term Electrocorticography Recordings

Rajesh P. N. Rao, Jeffrey A. Herron, Jeffrey Herron, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Implementing belief propagation in neural circuits

Rajesh P. N. Rao, Aaron P. Shon, A. P. Shon, 2005, Neurocomputing.

Cortical Topography of Error-Related High-Frequency Potentials During Erroneous Control in a Continuous Control Brain–Computer Interface

Rajesh P. N. Rao, Kurt E. Weaver, Jeffrey G. Ojemann, 2019, Front. Neurosci..

Learning Lie Groups for Invariant Visual Perception

Rajesh P. N. Rao, Daniel L. Ruderman, D. Ruderman, 1998, NIPS.

Corrigendum to "Upward separation for FewP and related classes"

Rajesh P. N. Rao, Jörg Rothe, Osamu Watanabe, 2000, Inf. Process. Lett..

Gaussian Process CCA for Image Synthesis and Robotic Imitation

Rajesh P. N. Rao, Aaron Hertzmann, Keith Grochow, 2005 .

141 NO-HANDS VIDEO GAMES: CONTROLLING A CURSOR WITH THOUGHT ALONE (CONSTRUCTION OF A ROBUST, MULTIDIMENSIONAL, BRAIN-COMPUTER INTERFACE USING ELECTROCORTICOGRAPHIC RECORDING IN HUMANS).

Rajesh P. N. Rao, Gerwin Schalk, Jeffrey G. Ojemann, 2007 .

An adaptive brain-computer interface for humanoid robot control

Rajesh P. N. Rao, Reinhold Scherer, Joshua R. Smith, 2011, 2011 11th IEEE-RAS International Conference on Humanoid Robots.

Dynamic Bayesian Networks for Brain-Computer Interfaces

Rajesh P. N. Rao, Pradeep Shenoy, 2004, NIPS.

Towards Hierarchical BCls for Robotic Control

Rajesh P. N. Rao, Reinhold Scherer, Willy Cheung, 2011 .

Brain-Computer Interfacing

Rajesh P. N. Rao, Reinhold Scherer, 2010 .

Generalized Features for Electrocorticographic BCIs

Rajesh P. N. Rao, Pradeep Shenoy, Jeffrey G. Ojemann, 2008, IEEE Transactions on Biomedical Engineering.

Real-time functional brain mapping using electrocorticography

Rajesh P. N. Rao, Pradeep Shenoy, Jeffrey G. Ojemann, 2007, NeuroImage.

Brain-Computer Interfacing: References

Rajesh P. N. Rao, 2013 .

Commentary and Discussion: Entropy, the Indus Script, and Language: A Reply to R. Sproat

Rajesh P. N. Rao, Nisha Yadav, Rajesh P. N. Rao, 2010, CL.

Fast Structured Prediction Using Large Margin Sigmoid Belief Networks

Rajesh P. N. Rao, Xu Miao, Xu Miao, 2012, International Journal of Computer Vision.

Efficient human-robot collaboration: When should a robot take initiative?

Minoru Asada, Maya Cakmak, Rajesh P. N. Rao, 2017, Int. J. Robotics Res..

Natural Basis Functions and Topographic Memory for Face Recognition

Rajesh P. N. Rao, Dana H. Ballard, D. Ballard, 1995, IJCAI.

Unsupervised Decoding of Long-Term, Naturalistic Human Neural Recordings with Automated Video and Audio Annotations

Rajesh P. N. Rao, Bingni W. Brunton, Jeffrey G. Ojemann, 2015, Front. Hum. Neurosci..

Robot Programming by Demonstration with Crowdsourced Action Fixes

Maya Cakmak, Rajesh P. N. Rao, Maxwell Forbes, 2014, HCOMP.

Localized Receptive Fields May Mediate Transformation-Invariant Recognition in the Visual Cortex

Rajesh P. N. Rao, Dana H. Ballard, 1997 .

Automatic extraction of command hierarchies for adaptive brain-robot interfacing

Rajesh P. N. Rao, Joshua R. Smith, Mike Chung, 2012, 2012 IEEE International Conference on Robotics and Automation.

New Perspectives on Neuroengineering and Neurotechnologies: NSF-DFG Workshop Report

Wolfram Burgard, Tonio Ball, Rajesh P. N. Rao, 2016, IEEE Transactions on Biomedical Engineering.

A Note on P-Selective Sets and Closeness

Rajesh P. N. Rao, 1995, Inf. Process. Lett..

Autonomous question answering with mobile robots in human-populated environments

Maya Cakmak, Rajesh P. N. Rao, Dieter Fox, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Beyond motor imagery: Evaluation of mental strategies for stable multi-class classification

Rajesh P. N. Rao, Christa Neuper, Reinhold Scherer, 2010 .

Learning Graph-Structured Sum-Product Networks for Probabilistic Semantic Maps

Rajesh P. N. Rao, Kaiyu Zheng, Andrzej Pronobis, 2017, AAAI.

How Prior Probability Influences Decision Making: A Unifying Probabilistic Model

Rajesh P. N. Rao, Michael N. Shadlen, Yanping Huang, 2012, NIPS.

Gaze Following as Goal Inference: A Bayesian Model

Rajesh P. N. Rao, Abram L. Friesen, A. Friesen, 2011, CogSci.

Imitation Learning Using Graphical Models

Rajesh P. N. Rao, Deepak Verma, D. Verma, 2007, ECML.

Exploring the Potential of Information Gathering Robots

Maya Cakmak, Rajesh P. N. Rao, Dieter Fox, 2015, HRI.

Neural Models of Bayesian Belief Propagation

Rajesh P. N. Rao, 2006 .

Bayesian inference with incomplete knowledge explains perceptual confidence and its deviations from accuracy

Rajesh P. N. Rao, Koosha Khalvati, Roozbeh Kiani, 2020, Nature Communications.

Learning nonparametric policies by imitation

Rajesh P. N. Rao, David B. Grimes, 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Designing information gathering robots for human-populated environments

Maya Cakmak, Rajesh P. N. Rao, Dieter Fox, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Bilinear Sparse Coding for Invariant Vision

Rajesh P. N. Rao, David B. Grimes, D. Grimes, 2005, Neural Computation.

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

Rajesh P. N. Rao, Gerwin Schalk, Jeffrey G. Ojemann, 2016, PLoS Comput. Biol..

Brain-computer interfaces for control and computation

Rajesh P. N. Rao, Pradeep Shenoy, 2008 .

Short-time windowed covariance: A metric for identifying non-stationary, event-related covariant cortical sites

Rajesh P. N. Rao, Jeffrey G. Ojemann, Timothy Blakely, 2014, Journal of Neuroscience Methods.

Margin-based probabilistic networks

Rajesh P. N. Rao, Xu Miao, 2011 .

Planning and Acting in Uncertain Environments using Probabilistic Inference

Rajesh P. N. Rao, Deepak Verma, D. Verma, 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

A Bayesian Developmental Approach to Robotic Goal-Based Imitation Learning

Rajesh P. N. Rao, Dieter Fox, Andrew N. Meltzoff, 2015, PloS one.

Probabilistic Models of the Brain

Rajesh P. N. Rao, Bruno A. Olshausen, Michael S. Lewicki, 2002 .

Dynamic appearance-based recognition

Rajesh P. N. Rao, 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Probabilistic bilinear models for appearance-based vision

Rajesh P. N. Rao, David B. Grimes, Aaron P. Shon, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

Pyneal: Open Source Real-Time fMRI Software

Rajesh P. N. Rao, Andrea Stocco, Kathryn C. Dickerson, 2020, Frontiers in Neuroscience.

A Hierarchical Architecture for Adaptive Brain-Computer Interfacing

Rajesh P. N. Rao, Reinhold Scherer, Willy Cheung, 2011, IJCAI.

Beyond the Gamma Band: The Role of High-Frequency Features in Movement Classification

Rajesh P. N. Rao, Pradeep Shenoy, Jeffrey G. Ojemann, 2008, IEEE Transactions on Biomedical Engineering.

Towards Hierarchical BCIs: Combining Motor Imagery and Evoked Potentials for Robotic Control

Rajesh P. N. Rao, Reinhold Scherer, Rawichote Chalodhorn, 2010 .

Emergent behavior and neural dynamics in artificial agents tracking turbulent plumes pdf

Rajesh P. N. Rao, Floris van Breugel, Bingni W. Brunton, 2021, ArXiv.

Active Predictive Coding Networks: A Neural Solution to the Problem of Learning Reference Frames and Part-Whole Hierarchies

Rajesh P. N. Rao, Dimitrios C. Gklezakos, 2022, bioRxiv.

Predictive Coding

Rajesh P. N. Rao, Yanping Huang, 2019, A Blueprint for the Hard Problem of Consciousness.

Embodiment is the foundation, not a level

Rajesh P. N. Rao, D. Ballard, M. Hayhoe, 1996, Behavioral and Brain Sciences.

Dynamic Model of Visual Memory Predicts Neural Response Properties in the Visual Cortex

Rajesh P. N. Rao, D. Ballard, 1995 .

A Class of Stochastic Models for Invariant Recognition, Motion, and Stereo

Rajesh P. N. Rao, D. Ballard, 1996 .

Bayesian brain : probabilistic approaches to neural coding

Rajesh P. N. Rao, A. Pouget, 銅谷賢治, 2006 .

Development of localized oriented receptive fields by learning a translation-invariant code for natural images.

Rajesh P. N. Rao, D. Ballard, 1998, Network.

Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects.

Rajesh P. N. Rao, D. Ballard, 1999 .

Imitation and Social Learning in Robots, Humans and Animals: A Bayesian model of imitation in infants and robots

Rajesh P. N. Rao, A. Meltzoff, A. P. Shon, 2007 .

Probabilistic Models of the Brain: Perception and Neural Function

Rajesh P. N. Rao, B. Olshausen, M. Lewicki, 2002 .

Motion detection and prediction through spike-timing dependent plasticity.

Rajesh P. N. Rao, T. Sejnowski, A. P. Shon, 2004, Network.

Eye movements in iconic visual search

Rajesh P. N. Rao, G. Zelinsky, D. Ballard, 2002, Vision Research.

Cortical activity during motor execution, motor imagery, and imagery-based online feedback

Rajesh P. N. Rao, Gerwin Schalk, Kai J Miller, 2010, Proceedings of the National Academy of Sciences.

Spectral Changes in Cortical Surface Potentials during Motor Movement

Rajesh P. N. Rao, G. Schalk, K. Miller, 2007, The Journal of Neuroscience.

Robust, long-term control of an electrocorticographic brain-computer interface with fixed parameters.

Rajesh P. N. Rao, Tim Blakely, Kai J Miller, 2009, Neurosurgical focus.

Classification of contralateral and ipsilateral finger movements for electrocorticographic brain-computer interfaces.

Rajesh P. N. Rao, K. Miller, J. Ojemann, 2009, Neurosurgical focus.

PSYCHOLOGICAL SCIENCE Research Article EYE MOVEMENTS REVEAL THE SPATIOTEMPORAL DYNAMICS OE VISUAL SEARCH

Rajesh P. N. Rao, G. Zelinsky, D. Ballard, 2022 .

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

Rajesh P. N. Rao, Lise A. Johnson, Jeremiah D. Wander, 2013, Proceedings of the National Academy of Sciences.

Bayesian inference and attentional modulation in the visual cortex

Rajesh P. N. Rao, Rajesh P N Rao, P. N. Rao, 2005, Neuroreport.

Computational Neuroscience: Neural circuits in silicon

Rajesh P. N. Rao, C. Diorio, 2000, Nature.

11 Neural Models of Bayesian Belief Propagation

Rajesh P. N. Rao, 2006 .

Nonlinear Phase–Phase Cross-Frequency Coupling Mediates Communication between Distant Sites in Human Neocortex

Rajesh P. N. Rao, K. Miller, J. Ojemann, 2009, The Journal of Neuroscience.

Predictive Coding , Cortical Feedback , and Spike-Timing Dependent Plasticity

Rajesh P. N. Rao, Sejnowski, Terrence., 2001 .

Frequency dependence of spike timing reliability in cortical pyramidal cells and interneurons.

Rajesh P. N. Rao, T. Sejnowski, J. Fellous, 2001, Journal of neurophysiology.

Self–organizing neural systems based on predictive learning

Rajesh P. N. Rao, T. Sejnowski, 2003, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

Deep Spatial Affordance Hierarchy : Spatial Knowledge Representation for Planning in Large-scale Environments

Rajesh P. N. Rao, Andrzej Pronobis, Francesco Riccio, 2017 .

Learning neural decoders without labels using multiple data streams

Rajesh P. N. Rao, Bingni W. Brunton, Steven M. Peterson, 2021, bioRxiv.

A Direct Brain-to-Brain Interface in Humans

Rajesh P. N. Rao, Andrea Stocco, Devapratim Sarma, 2014, PloS one.

Learning Arbitrary State Transition Kernels for Prediction

Rajesh P. N. Rao, David B. Grimes, Chris L. Baker, 2022 .

Predictive learning of temporal sequences in recurrent neocortical circuits.

Rajesh P. N. Rao, T J Sejnowski, T. Sejnowski, 2001, Novartis Foundation symposium.

A computational model of spatial representations that explains object-centered neglect in parietal patients

Rajesh P. N. Rao, D. Ballard, 1997 .

Eye Movements in Visual Cognition: A Computational Study

Rajesh P. N. Rao, G. Zelinsky, D. Ballard, 1997 .

A Bayesian Active Vision Architecture for Shared Attention

Rajesh P. N. Rao, Matthew W. Hoffman Aaron P. Shon David B. Grimes, 2022 .

Leveraging Anytime Classifiers to solve POMDPs

Rajesh P. N. Rao, Erick J. Chastain, 2006 .

Complex Cell-like Direction Selectivity through Spike-Timing Dependent Plasticity

Rajesh P. N. Rao, T. Sejnowski, 2003, IETE journal of research.

A Developmental Approach to Goal-Based Imitation Learning in Robots

Rajesh P. N. Rao, D. Fox, A. Meltzoff, 2013 .

Statistical Pattern Recognition and Machine Learning in Brain-Computer Interfaces

Rajesh P. N. Rao, Reinhold Scherer, 2010 .

On P-Selectivity and Closeness

Rajesh P. N. Rao, 1994 .

The Visual Cortex as a Hierarchical Predictor

Rajesh P. N. Rao, Dana H. Ballard, D. Ballard, 1996 .

When Two Brains Connect

Rajesh P. N. Rao, Andrea Stocco, A. Stocco, 2014 .

Playing 20 Questions with the Mind: Collaborative Problem Solving by Humans Using a Brain-to-Brain Interface

Rajesh P. N. Rao, Andrea Stocco, Chantel S. Prat, 2015, PloS one.

Behavioral and Neural Variability of Naturalistic Arm Movements

Rajesh P. N. Rao, Bingni W. Brunton, Satpreet H. Singh, 2020, eNeuro.

The physiology of perception in human temporal lobe is specialized for contextual novelty.

Rajesh P. N. Rao, Nathan Witthoft, Rajesh P N Rao, 2015, Journal of neurophysiology.

Dynamic Modulation of Local Population Activity by Rhythm Phase in Human Occipital Cortex During a Visual Search Task

Rajesh P. N. Rao, T. Sejnowski, S. Makeig, 2010, Front. Hum. Neurosci..

Motion detection and prediction through spike-timing dependent plasticity

Rajesh P. N. Rao, T. Sejnowski, A. P. Shon, 2004 .

Dynamic appearance-based vision

Rajesh P. N. Rao, Dana H. Ballard, 1997 .

Correction for Miller et al., Cortical activity during motor execution, motor imagery, and imagery-based online feedback

Rajesh P. N. Rao, Gerwin Schalk, Jeffrey G. Ojemann, 2010, Proceedings of the National Academy of Sciences.

Learning to Predict Cortical Potentials using Simultaneous Transcranial Recordings

Rajesh P. N. Rao, A. P. Shon, K. Miller, 2006 .

03-06-02 The Trajectory Mixture Model for Learning Collections of Nonlinear Functions

Rajesh P. N. Rao, David B. Grimes, Chris L. Baker, 2003 .

Neurons as Monte Carlo samplers

Rajesh P. N. Rao, Yanping Huang, Yanping Huang, 2014, NIPS 2014.

Bayesian cognitive models for imitation

Rajesh P. N. Rao, Aaron P. Shon, 2007 .

Brain-Computer Interfacing: Introduction

Rajesh P. N. Rao, 2013 .

LibSPN : A Library for Learning and Inference with Sum-Product Networks and TensorFlow

Rajesh P. N. Rao, Andrzej Pronobis, Avinash Ranganath, 2017 .

Local field potentials and single unit dynamics in motor cortex of unconstrained macaques during different behavioral states

Rajesh P. N. Rao, E. Fetz, S. Perlmutter, 2022, bioRxiv.

Hierarchical Learning of Reactive Behaviors in anAutonomous Mobile

Rajesh P. N. Rao, Fuentes, RobotOlac, 1995 .

Responses of cortical neurons to intracortical microstimulation in awake primates

Rajesh P. N. Rao, E. Fetz, S. Perlmutter, 2022, bioRxiv.

Local field potentials and single unit dynamics in motor cortex of unconstrained macaques during different behavioral states

Rajesh P. N. Rao, E. Fetz, S. Perlmutter, 2022, bioRxiv.

Multiple roles of ventral premotor cortex in BCI task learning and execution

Rajesh P. N. Rao, J. Ojemann, Miah Wander, 2016 .

Recursive Neural Programs: Variational Learning of Image Grammars and Part-Whole Hierarchies

Rajesh P. N. Rao, Ares Fisher, 2022, ArXiv.

Dynamic Predictive Coding: A New Model of Hierarchical Sequence Learning and Prediction in the Cortex

Rajesh P. N. Rao, Linxing Jiang, 2022, bioRxiv.

Local field potentials and single unit dynamics in motor cortex of unconstrained macaques during different behavioral states

Rajesh P. N. Rao, E. Fetz, S. Perlmutter, 2022, bioRxiv.

Recursive Neural Programs: Variational Learning of Image Grammars and Part-Whole Hierarchies

Rajesh P. N. Rao, Ares Fisher, 2022, ArXiv.

Local field potentials and single unit dynamics in motor cortex of unconstrained macaques during different behavioral states

Rajesh P. N. Rao, E. Fetz, S. Perlmutter, 2022, bioRxiv.

Local field potentials and single unit dynamics in motor cortex of unconstrained macaques during different behavioral states

Rajesh P. N. Rao, E. Fetz, S. Perlmutter, 2022, bioRxiv.

Active Predictive Coding: A Unified Neural Framework for Learning Hierarchical World Models for Perception and Planning

Rajesh P. N. Rao, Dimitrios C. Gklezakos, V. Sathish, 2022, ArXiv.

Bayesian Cortical Models

Rajesh P. N. Rao, 2009 .

Touching the Void: Intracranial Stimulation for NeuroHaptic Feedback in Virtual Reality

Rajesh P. N. Rao, J. Ojemann, J. Herron, 2022, 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Dynamic Predictive Coding: A New Model of Hierarchical Sequence Learning and Prediction in the Cortex

Rajesh P. N. Rao, Linxing Jiang, 2022 .

Brain-Computer Interface Research at the University of Washington: EEG- and ECoG-Based Paradigms

Rajesh P. N. Rao, Reinhold Scherer, Yoky Matsuoka, 2009 .

A Sensory-Motor Theory of the Neocortex based on Active Predictive Coding

Rajesh P. N. Rao, 2022, bioRxiv.

An Immersive Virtual Reality Platform Integrating Human ECOG & sEEG: Implementation & Noise Analysis

Rajesh P. N. Rao, J. Herron, J. Hauptman, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Predictive Coding Theories of Cortical Function

Rajesh P. N. Rao, Linxing Jiang, 2021, 2112.10048.

Awakening a Sleeping Cat: A Review of “Information Theory and the Brain”: R. Baddeley, P. Hancock, P. Földiák (editors), Cambridge University Press, 2000, hardcover, ISBN 0-521-63197-1 (US$ 90.00)

Rajesh P. N. Rao, 2002 .

Electrocorticography-based brain computer Interface-the seattle experience

Rajesh P. N. Rao, K.J. Miller, J.G. Ojemann, 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Characterization of a novel regulatory gene governing the expression of a polyketide synthase gene in Streptomyces ambofaciens

Rajesh P. N. Rao, R. Losick, J. Turner, 1992, Molecular microbiology.

Control of a humanoid robot by a noninvasive brain–computer interface in humans

Rajesh P. N. Rao, Pradeep Shenoy, Rawichote Chalodhorn, 2008, Journal of neural engineering.

Projections and the Potential Societal Impact of the Future of Neurotechnologies

Rajesh P. N. Rao, Jacob T. Robinson, P. Celnik, 2021, Frontiers in Neuroscience.

Localized High Gamma Motor Oscillations Respond to Perceived Biologic Motion

Rajesh P. N. Rao, Rajesh P N Rao, Felix Darvas, 2013, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

High gamma mapping using EEG

Rajesh P. N. Rao, Reinhold Scherer, Jeffrey G. Ojemann, 2010, NeuroImage.

Book reviews: Awakening a sleeping cat: A review of information theory and the brain

Rajesh P. N. Rao, Rajesh P. N. Rao, 2002 .

Awakening a Sleeping Cat: A Review of "Information Theory and the Brain" edited by R. Baddeley, P. Hancock, and P. F¨

Rajesh P. N. Rao, 2002 .

Chromosome-bound mitotic factors: release by endonucleases

Rajesh P. N. Rao, David A. Wright, R. C. Adlakha, 1982, Nucleic Acids Res..

Signal recovery from stimulation artifacts in intracranial recordings with dictionary learning

Rajesh P. N. Rao, Bingni W. Brunton, Rajesh P N Rao, 2020, Journal of neural engineering.

Dynamic Predictive Coding with Hypernetworks

Rajesh P. N. Rao, Dimitrios C. Gklezakos, Linxing Jiang, 2021, bioRxiv.

A Bayesian Framework for Modeling Confidence in Perceptual Decision Making

Rajesh P. N. Rao, Koosha Khalvati, Rajesh P. Rao, 2015, NIPS.

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

Rajesh P. N. Rao, Koosha Khalvati, Seongmin A. Park, 2019, Science Advances.

A Bayesian Theory of Conformity in Collective Decision Making

Rajesh P. N. Rao, Koosha Khalvati, Seongmin A. Park, 2019, NeurIPS.

Bayesian Inference of Other Minds Explains Human Choices in Group Decision Making

Rajesh P. N. Rao, Koosha Khalvati, Seongmin A. Park, 2018, bioRxiv.

Probabilistic co-adaptive brain–computer interfacing

Rajesh P. N. Rao, Matthew J Bryan, Stefan A Martin, 2013, Journal of neural engineering.

Time-varying Autoregression with Low Rank Tensors pdf

Rajesh P. N. Rao, Bingni W. Brunton, Kameron Decker Harris, 2019, SIAM J. Appl. Dyn. Syst..

Predictive Coding Theories of Cortical Function

Rajesh P. N. Rao, Linxing Jiang, 2021, 2112.10048.

Direct stimulation of somatosensory cortex results in slower reaction times compared to peripheral touch in humans

Rajesh P. N. Rao, Rajesh P N Rao, Jeffrey G Ojemann, 2019, Scientific Reports.

Non-intrusive tongue machine interface

Ben Taskar, Rajesh P. N. Rao, Qiao Zhang, 2014, CHI.

A Probabilistic Model of Social Decision Making based on Reward Maximization

Rajesh P. N. Rao, Koosha Khalvati, Seongmin A. Park, 2016, NIPS.

Repairing Brain-Computer Interfaces with Fault-Based Data Acquisition

Rajesh P. N. Rao, Chloe Winston, Caleb Winston, 2022, 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE).

Towards adaptive classification for BCI

Rajesh P. N. Rao, Klaus-Robert Müller, Benjamin Blankertz, 2006, Journal of neural engineering.

Predictive Coding Theories of Cortical Function

Rajesh P. N. Rao, Linxing Jiang, 2021, 2112.10048.

Towards neural co-processors for the brain: combining decoding and encoding in brain–computer interfaces

Rajesh P. N. Rao, Rajesh PN Rao, 2018, Current Opinion in Neurobiology.

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

Rajesh P. N. Rao, Darby M. Losey, Justin A. Abernethy, 2018, bioRxiv.

Attention, Models of

Rajesh P. N. Rao, 2006 .

Touch restoration through electrical cortical stimulation in humans

Rajesh P. N. Rao, Jeneva A. Cronin, David J. Caldwell, 2021, Somatosensory Feedback for Neuroprosthetics.

Fast Structured Prediction Using Large Margin Sigmoid Belief Networks

Rajesh P. N. Rao, Xu Miao, 2012, International Journal of Computer Vision.

Identifying with all humanity predicts cooperative health behaviors and helpful responding during COVID-19

Rajesh P. N. Rao, A. Meltzoff, R. Brooks, 2021, PloS one.

Neurobiology of Attention

Rajesh P. N. Rao, D. Ballard, 2005 .

Rajesh P. N. Rao, K. Miller, P. Shenoy, 2022 .

Hyper-Universal Policy Approximation: Learning to Generate Actions from a Single Image using Hypernets

Rajesh P. N. Rao, Dimitrios C. Gklezakos, Rishi Jha, 2022, arXiv.org.

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

Rajesh P. N. Rao, Rajesh P N Rao, Andrea Stocco, 2018, Scientific Reports.

AJILE12: Long-term naturalistic human intracranial neural recordings and pose

Rajesh P. N. Rao, Bingni W. Brunton, Steven M. Peterson, 2021, bioRxiv.

Predictive coding.

Rajesh P. N. Rao, Yanping Huang, 2011, Wiley interdisciplinary reviews. Cognitive science.

Localization and classification of phonemes using high spatial resolution electrocorticography (ECoG) grids

Rajesh P. N. Rao, Jeffrey G. Ojemann, Kai J. Miller, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Brain-Inspired Computational Intelligence via Predictive Coding

Rajesh P. N. Rao, Thomas Lukasiewicz, C. Buckley, 2023, ArXiv.

Emergent behaviour and neural dynamics in artificial agents tracking odour plumes

Rajesh P. N. Rao, Bingni W. Brunton, Satpreet H. Singh, 2023, Nature Machine Intelligence.

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

Ali Farhadi, Rajesh P. N. Rao, Bingni W. Brunton, 2017, AAAI.

An optimal estimation approach to visual perception and learning

Rajesh P. N. Rao, Rajesh P.N. Rao, R. Rao, 1999, Vision Research.

Understanding biological plume tracking behavior using deep reinforcement-learning

Rajesh P. N. Rao, Bingni W. Brunton, F. V. Breugel, 2020, ALIFE.

Interactive web application for exploring matrices of neural connectivity

Jing Wu, Rajesh P. N. Rao, Jeffrey G. Ojemann, 2017, 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER).

Casein kinase 2 binds to and phosphorylates BRCA1.

Rajesh P. N. Rao, K. Cocke, S. Lemke, 1999, Biochemical and biophysical research communications.

2006 Special issue: A probabilistic model of gaze imitation and shared attention

Matthew W. Hoffman, Rajesh P. N. Rao, David B. Grimes, 2006 .

Mining naturalistic human behaviors in long-term video and neural recordings

Rajesh P. N. Rao, Bingni W. Brunton, Steven M. Peterson, 2021, Journal of Neuroscience Methods.

Expressive probabilistic sampling in recurrent neural networks

Rajesh P. N. Rao, Linxing Jiang, Shirui Chen, 2023, ArXiv.

Construction and characterization of a one-plasmid system for the controlled expression of genes in mammalian cells by tetracycline.

Rajesh P. N. Rao, K. O'Brien, R. Rao, 1997, Gene.

AJILE12: Long-term naturalistic human intracranial neural recordings and pose

Rajesh P. N. Rao, Bingni W. Brunton, Steven M. Peterson, 2022, Scientific Data.

Metacognitive Mechanisms for Novelty Processing: Lessons for AI

Rajesh P. N. Rao, J. Krichmar, Scott Sinclair Grigsby, 2021 .

Eye Movements Reveal the Spatiotemporal Dynamics of Visual Search

Rajesh P. N. Rao, G. Zelinsky, D. Ballard, 1997 .

Purification, Characterization, and Kinetic Mechanism of Cyclin D1·CDK4, a Major Target for Cell Cycle Regulation*

Rajesh P. N. Rao, W. Yeh, R. Radhakrishnan, 1998, The Journal of Biological Chemistry.

Cortical activity during motor execution, motor imagery, and imagery-based online feedback

Rajesh P. N. Rao, E. Fetz, G. Schalk, 2010, Proceedings of the National Academy of Sciences of the United States of America.

Towards neural co-processors for the brain: combining decoding and encoding in brain–computer interfaces

Rajesh P. N. Rao, 2018, Current Opinion in Neurobiology.

Bayesian inference and attentional modulation in the visual cortex

Rajesh P. N. Rao, 2005, Neuroreport.

The Jackknife – A review

Rajesh P. N. Rao, S. Makeig, T. Sejnowski, 1974 .

New Perspectives on Neuroengineering and Neurotechnologies: NSF-DFG Workshop Report

Rajesh P. N. Rao, C. Moritz, T. Ball, 2016, IEEE Transactions on Biomedical Engineering.

Precisely Detecting and Resolving BCI Errors With Case Functions

Rajesh P. N. Rao, Caleb Winston, Claris Winston, 2021 .

A Platform for Virtual Reality Task Design with Intracranial Electrodes

Rajesh P. N. Rao, Jeffrey A. Herron, J. Ojemann, 2021, Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Expressive probabilistic sampling in recurrent neural networks

Rajesh P. N. Rao, Linxing Jiang, Shirui Chen, 2023, ArXiv.

Neural correlates of learning in an electrocorticographic motor-imagery brain-computer interface.

Rajesh P. N. Rao, Rajesh P N Rao, Kai J Miller, 2014, Brain computer interfaces.

Brain-Computer Interfacing: An Introduction

Rajesh P. N. Rao, 2013 .

Brain–computer interfaces: a powerful tool for scientific inquiry

Rajesh P. N. Rao, Jeremiah D Wander, Rajesh PN Rao, 2014, Current Opinion in Neurobiology.

Embodiment is the foundation, not a level

Rajesh P. N. Rao, D. Ballard, M. Hayhoe, 1996, Behavioral and Brain Sciences.

Advances in Neural Information Processing Systems 8 ( NIPS * 95 )

Rajesh P. N. Rao, G. Zelinsky, D. Ballard, 1996 .

2010 Special Issue

Rajesh P. N. Rao, A. Meltzoff, A. P. Shon, 2010 .