Rajesh P. N. Rao

Orcid: 0000-0003-0682-8952

Affiliations:
  • University of Washington, Seattle, Washington, USA


According to our database1, Rajesh P. N. Rao authored at least 131 papers between 1982 and 2024.

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Bibliography

2024
Dynamic predictive coding: A model of hierarchical sequence learning and prediction in the neocortex.
PLoS Comput. Biol., February, 2024

Active Predictive Coding: A Unifying Neural Model for Active Perception, Compositional Learning, and Hierarchical Planning.
Neural Comput., January, 2024

2023
Emergent behaviour and neural dynamics in artificial agents tracking odour plumes.
Nat. Mac. Intell., January, 2023

Culturally-Attuned Moral Machines: Implicit Learning of Human Value Systems by AI through Inverse Reinforcement Learning.
CoRR, 2023

Expressive probabilistic sampling in recurrent neural networks.
CoRR, 2023

Brain-Inspired Computational Intelligence via Predictive Coding.
CoRR, 2023

Expressive probabilistic sampling in recurrent neural networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Active Predictive Coding: A Unified Neural Framework for Learning Hierarchical World Models for Perception and Planning.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Dynamic Predictive Coding Explains Both Prediction and Postdiction in Visual Motion Perception.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022
Neural Co-Processors for Restoring Brain Function: Results from a Cortical Model of Grasping.
CoRR, 2022

Hyper-Universal Policy Approximation: Learning to Generate Actions from a Single Image using Hypernets.
CoRR, 2022

Recursive Neural Programs: Variational Learning of Image Grammars and Part-Whole Hierarchies.
CoRR, 2022

Active Predictive Coding Networks: A Neural Solution to the Problem of Learning Reference Frames and Part-Whole Hierarchies.
CoRR, 2022

Human intracortical responses to varying electrical stimulation conditions are separable in low-dimensional subspaces.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Touching the Void: Intracranial Stimulation for NeuroHaptic Feedback in Virtual Reality.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Repairing Brain-Computer Interfaces with Fault-Based Data Acquisition.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

An Immersive Virtual Reality Platform Integrating Human ECOG & sEEG: Implementation & Noise Analysis.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Emergent behavior and neural dynamics in artificial agents tracking turbulent plumes.
CoRR, 2021

A Platform for Virtual Reality Task Design with Intracranial Electrodes.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Brain Co-Processors: Using AI to Restore and Augment Brain Function.
CoRR, 2020

Towards naturalistic human neuroscience and neuroengineering: behavior mining in long-term video and neural recordings.
CoRR, 2020

Understanding biological plume tracking behavior using deep reinforcement-learning.
Proceedings of the 2020 Conference on Artificial Life, 2020

Unsupervised Sleep and Wake State Identification in Long-Term Electrocorticography Recordings.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Estimation of Vector Autoregressive Parameters and Granger Causality From Noisy Multichannel Data.
IEEE Trans. Biomed. Eng., 2019

2018
The Indus Script and Economics. A Role for Indus Seals and Tablets in Rationing and Administration of Labor.
CoRR, 2018

Towards Neural Co-Processors: Combining Neural Decoding and Encoding in Brain-Computer Interfaces.
CoRR, 2018

BrainNet: A Multi-Person Brain-to-Brain Interface for Direct Collaboration Between Brains.
CoRR, 2018

Electrocorticographic Dynamics Predict Sustained Grasping and Upper-Limb Kinetic Output.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Learning Graph-Structured Sum-Product Networks for Probabilistic Semantic Maps.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Efficient human-robot collaboration: When should a robot take initiative?
Int. J. Robotics Res., 2017

Transformational Sparse Coding.
CoRR, 2017

Learning Semantic Maps with Topological Spatial Relations Using Graph-Structured Sum-Product Networks.
CoRR, 2017

Electrocorticographic dynamics predict visually guided motor imagery of grasp shaping.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

Interactive web application for exploring matrices of neural connectivity.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

Learning deep generative spatial models for mobile robots.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016
Task-Specific Somatosensory Feedback via Cortical Stimulation in Humans.
IEEE Trans. Haptics, 2016

New Perspectives on Neuroengineering and Neurotechnologies: NSF-DFG Workshop Report.
IEEE Trans. Biomed. Eng., 2016

Cortico-Cortical Interactions during Acquisition and Use of a Neuroprosthetic Skill.
PLoS Comput. Biol., 2016

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., 2016

Bayesian Inference and Online Learning in Poisson Neuronal Networks.
Neural Comput., 2016

Navigating a 2D Virtual World Using Direct Brain Stimulation.
Frontiers Robotics AI, 2016

Autonomous question answering with mobile robots in human-populated environments.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Initiative in Robot Assistance during Collaborative Task Execution.
Proceedings of the Eleventh ACM/IEEE International Conference on Human Robot Interation, 2016

Multistep model for predicting upper-limb 3D isometric force application from pre-movement electrocorticographic features.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Near-Instantaneous Classification of Perceptual States from Cortical Surface Recordings.
Proceedings of the Brain-Computer Interface Research - A State-of-the-Art Summary 4, 2015

Designing information gathering robots for human-populated environments.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Robot Programming by Demonstration with situated spatial language understanding.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Exploring the Potential of Information Gathering Robots.
Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction, 2015

2014
Broadband changes in the cortical surface potential track activation of functionally diverse neuronal populations.
NeuroImage, 2014

Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Accelerating imitation learning through crowdsourcing.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Robot Programming by Demonstration with Crowdsourced Action Fixes.
Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

Non-intrusive tongue machine interface.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

2012
Complementary Kernel Density Estimation.
Pattern Recognit. Lett., 2012

Fast Structured Prediction Using Large Margin Sigmoid Belief Networks.
Int. J. Comput. Vis., 2012

How Prior Probability Influences Decision Making: A Unifying Probabilistic Model.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Automatic extraction of command hierarchies for adaptive brain-robot interfacing.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Simultaneous brain-computer interfacing and motor control: Expanding the reach of non-invasive BCIs.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Non-invasive Brain-Computer Interfaces: Enhanced Gaming and Robotic Control.
Proceedings of the Advances in Computational Intelligence, 2011

A Hierarchical Architecture for Adaptive Brain-Computer Interfacing.
Proceedings of the IJCAI 2011, 2011

An adaptive brain-computer interface for humanoid robot control.
Proceedings of the 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011), 2011

Gaze Following as Goal Inference: A Bayesian Model.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010
Learning to Imitate Human Actions through Eigenposes.
Proceedings of the From Motor Learning to Interaction Learning in Robots, 2010

Brain-Computer Interfacing [In the Spotlight].
IEEE Signal Process. Mag., 2010

"Social" robots are psychological agents for infants: A test of gaze following.
Neural Networks, 2010

Decision Making Under Uncertainty: A Neural Model Based on Partially Observable Markov Decision Processes.
Frontiers Comput. Neurosci., 2010

Large Margin Boltzmann Machines and Large Margin Sigmoid Belief Networks
CoRR, 2010

Probabilistic Analysis of an Ancient Undeciphered Script.
Computer, 2010

Entropy, the Indus Script, and Language: A Reply to R. Sproat.
Comput. Linguistics, 2010

Learning to Walk by Imitation in Low-Dimensional Subspaces.
Adv. Robotics, 2010

A rational decision making framework for inhibitory control.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Imitation learning with hierarchical actions.
Proceedings of the 2010 IEEE 9th International Conference on Development and Learning, 2010

2009
Learning Actions through Imitation and Exploration: Towards Humanoid Robots That Learn from Humans.
Proceedings of the Creating Brain-Like Intelligence: From Basic Principles to Complex Intelligent Systems, 2009

A Markov model of the Indus script.
Proc. Natl. Acad. Sci. USA, 2009

Statistical analysis of the Indus script using $n$-grams
CoRR, 2009

Using eigenposes for lossless periodic human motion imitation.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Large Margin Boltzmann Machines.
Proceedings of the IJCAI 2009, 2009

2008
Generalized Features for Electrocorticographic BCIs.
IEEE Trans. Biomed. Eng., 2008

Online Electromyographic Control of a Robotic Prosthesis.
IEEE Trans. Biomed. Eng., 2008

Beyond the Gamma Band: The Role of High-Frequency Features in Movement Classification.
IEEE Trans. Biomed. Eng., 2008

Learning nonparametric policies by imitation.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Feasibility and pragmatics of classifying working memory load with an electroencephalograph.
Proceedings of the 2008 Conference on Human Factors in Computing Systems, 2008

2007
Real-time functional brain mapping using electrocorticography.
NeuroImage, 2007

Learning the Lie Groups of Visual Invariance.
Neural Comput., 2007

A Cognitive Model of Imitative Development in Humans and Machines.
Int. J. Humanoid Robotics, 2007

Learning full-body motions from monocular vision: dynamic imitation in a humanoid robot.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Learning to Walk through Imitation.
Proceedings of the IJCAI 2007, 2007

Towards a Real-Time Bayesian Imitation System for a Humanoid Robot.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

Imitation Learning Using Graphical Models.
Proceedings of the Machine Learning: ECML 2007, 2007

Active Imitation Learning.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
A probabilistic model of gaze imitation and shared attention.
Neural Networks, 2006

Dynamic Imitation in a Humanoid Robot through Nonparametric Probabilistic Inference.
Proceedings of the Robotics: Science and Systems II, 2006

Learning Nonparametric Models for Probabilistic Imitation.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Planning and Acting in Uncertain Environments using Probabilistic Inference.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Learning Humanoid Motion Dynamics through Sensory-motor Mapping in Reduced Dimensional Spaces.
Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

2005
Bilinear Sparse Coding for Invariant Vision.
Neural Comput., 2005

Implementing belief propagation in neural circuits.
Neurocomputing, 2005

Learning temporal clusters with synaptic facilitation and lateral inhibition.
Neurocomputing, 2005

Goal-Based Imitation as Probabilistic Inference over Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Learning Shared Latent Structure for Image Synthesis and Robotic Imitation.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Probabilistic Gaze Imitation and Saliency Learning in a Robotic Head.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

Robotic imitation from human motion capture using Gaussian processes.
Proceedings of the 5th IEEE-RAS International Conference on Humanoid Robots, 2005

Learning dynamic humanoid motion using predictive control in low dimensional subspaces.
Proceedings of the 5th IEEE-RAS International Conference on Humanoid Robots, 2005

Real-Time Classification of Electromyographic Signals for Robotic Control.
Proceedings of the Proceedings, 2005

2004
Bayesian Computation in Recurrent Neural Circuits.
Neural Comput., 2004

Dynamic Bayesian Networks for Brain-Computer Interfaces.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Hierarchical Bayesian Inference in Networks of Spiking Neurons.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003
Learning temporal patterns by redistribution of synaptic efficacy.
Neurocomputing, 2003

Probabilistic Bilinear Models for Appearance-Based Vision.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

2002
A Bilinear Model for Sparse Coding.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
Spike-Timing-Dependent Hebbian Plasticity as Temporal Difference Learning.
Neural Comput., 2001

Optimal Smoothing in Visual Motion Perception.
Neural Comput., 2001

2000
Corrigendum to "Upward separation for FewP and related classes".
Inf. Process. Lett., 2000

A single-spike model of predictive coding.
Neurocomputing, 2000

1999
Predictive Sequence Learning in Recurrent Neocortical Circuits.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998
Hierarchical Learning of Navigational Behaviors in an Autonomous Robot using a Predictive Sparse Distributed Memory.
Mach. Learn., 1998

Learning Lie Groups for Invariant Visual Perception.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1997
Dynamic Model of Visual Recognition Predicts Neural Response Properties in the Visual Cortex.
Neural Comput., 1997

Correlates of Attention in a Model of Dynamic Visual Recognition.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Dynamic Appearance-Based Recognition.
Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

1995
A Note on P-Selective Sets and Closeness.
Inf. Process. Lett., 1995

An Active Vision Architecture Based on Iconic Representations.
Artif. Intell., 1995

Modeling Saccadic Targeting in Visual Search.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Natural Basis Functions and Topographic Memory for Face Recognition.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

Object Indexing Using an Iconic Sparse Distributed Memory.
Proceedings of the Procedings of the Fifth International Conference on Computer Vision (ICCV 95), 1995

Towards a Functional Theory of Vision Based on Visual Routines.
Proceedings of the Mustererkennung 1995, 1995

1994
Upward Separation for FewP and Related Classes.
Inf. Process. Lett., 1994

Learning Saccadic Eye Movements Using Multiscale Spatial Filters.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Seeing Behind Occlusions.
Proceedings of the Computer Vision, 1994

1982
Chromosome-bound mitotic factors: release by endonucleases.
Nucleic Acids Res., 1982


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