Rajesh P. N. Rao

143 papers A* 21A 7B 7C 1Journal 73Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A survey on neuro-mimetic deep learning via predictive coding. Neural Networks Tommaso Salvatori, Ankur Mali, Christopher L. Buckley, Thomas Lukasiewicz, Rajesh P. N. Rao, Karl J. Friston, Alexander Ororbia
2026	J	`jnl`	Predictive coding with spiking neural networks: A survey. Neural Networks Antony W. N'Dri, William Gebhardt, Céline Teulière, Fleur Zeldenrust, Rajesh P. N. Rao, Jochen Triesch, Alexander Ororbia
2025	J	`jnl`	Lessons from Neuroscience for AI: How integrating Actions, Compositional Structure and Episodic Memory could enable Safe, Interpretable and Human-Like AI. CoRR Rajesh P. N. Rao, Vishwas Sathish, Linxing Preston Jiang, Matthew J. Bryan, Prashant Rangarajan
2025	J	`jnl`	Meta-Representational Predictive Coding: Biomimetic Self-Supervised Learning. CoRR Alexander Ororbia, Karl J. Friston, Rajesh P. N. Rao
2025	J	`jnl`	Mixed Density Diffuser: Efficient Planning with Non-uniform Temporal Resolution. CoRR Crimson Stambaugh, Rajesh P. N. Rao
2025	J	`jnl`	Temporal Basis Function Models for Closed-Loop Neural Stimulation. CoRR Matthew J. Bryan, Felix Schwock, Azadeh Yazdan-Shahmorad, Rajesh P. N. Rao
2024	J	`jnl`	Active Predictive Coding: A Unifying Neural Model for Active Perception, Compositional Learning, and Hierarchical Planning. Neural Comput. Rajesh P. N. Rao, Dimitrios C. Gklezakos, Vishwas Sathish
2024	J	`jnl`	Dynamic predictive coding: A model of hierarchical sequence learning and prediction in the neocortex. PLoS Comput. Biol. Linxing Preston Jiang, Rajesh P. N. Rao
2023	B	`conf`	Active Predictive Coding: A Unified Neural Framework for Learning Hierarchical World Models for Perception and Planning. CogSci Rajesh P. N. Rao, Dimitrios C. Gklezakos, Vishwas Sathish
2023	J	`jnl`	Brain-Inspired Computational Intelligence via Predictive Coding. CoRR Tommaso Salvatori, Ankur Mali, Christopher L. Buckley, Thomas Lukasiewicz, Rajesh P. N. Rao, Karl J. Friston, Alexander Ororbia
2023	J	`jnl`	Culturally-Attuned Moral Machines: Implicit Learning of Human Value Systems by AI through Inverse Reinforcement Learning. CoRR Nigini Oliveira, Jasmine Li, Koosha Khalvati, Rodolfo Cortes Barragan, Katharina Reinecke, Andrew N. Meltzoff, Rajesh P. N. Rao
2023	B	`conf`	Dynamic Predictive Coding Explains Both Prediction and Postdiction in Visual Motion Perception. CogSci Linxing Preston Jiang, Rajesh P. N. Rao
2023	J	`jnl`	Emergent behaviour and neural dynamics in artificial agents tracking odour plumes. Nat. Mac. Intell. Satpreet H. Singh, Floris van Breugel, Rajesh P. N. Rao, Bingni W. Brunton
2023	A*	`conf`	Expressive probabilistic sampling in recurrent neural networks. NeurIPS Shirui Chen, Linxing Jiang, Rajesh P. N. Rao, Eric Shea-Brown
2023	J	`jnl`	Expressive probabilistic sampling in recurrent neural networks. CoRR Shirui Chen, Linxing Preston Jiang, Rajesh P. N. Rao, Eric Shea-Brown
2022	J	`jnl`	Active Predictive Coding Networks: A Neural Solution to the Problem of Learning Reference Frames and Part-Whole Hierarchies. CoRR Dimitrios C. Gklezakos, Rajesh P. N. Rao
2022	J	`jnl`	Active Predictive Coding: A Unified Neural Framework for Learning Hierarchical World Models for Perception and Planning. CoRR Rajesh P. N. Rao, Dimitrios C. Gklezakos, Vishwas Sathish
2022	—	`conf`	An Immersive Virtual Reality Platform Integrating Human ECOG & sEEG: Implementation & Noise Analysis. EMBC Courtnie Paschall, Rajesh P. N. Rao, Jason S. Hauptman, Jeffrey G. Ojemann, Jeffrey Herron
2022	B	`conf`	Human intracortical responses to varying electrical stimulation conditions are separable in low-dimensional subspaces. SMC Samantha Sun, Lila H. Levinson, Courtnie Jean Paschall, Jeffrey Herron, Kurt E. Weaver, Jason S. Hauptman, Andrew Ko, Jeffrey G. Ojemann, Rajesh P. N. Rao
2022	J	`jnl`	Hyper-Universal Policy Approximation: Learning to Generate Actions from a Single Image using Hypernets. CoRR Dimitrios C. Gklezakos, Rishi Jha, Rajesh P. N. Rao
2022	J	`jnl`	Neural Co-Processors for Restoring Brain Function: Results from a Cortical Model of Grasping. CoRR Matthew J. Bryan, Linxing Preston Jiang, Rajesh P. N. Rao
2022	J	`jnl`	Recursive Neural Programs: Variational Learning of Image Grammars and Part-Whole Hierarchies. CoRR Ares Fisher, Rajesh P. N. Rao
2022	A*	`conf`	Repairing Brain-Computer Interfaces with Fault-Based Data Acquisition. ICSE Cailin Winston, Caleb Winston, Chloe N. Winston, Claris Winston, Cleah Winston, Rajesh P. N. Rao, René Just
2022	J	`jnl`	Repairing Brain-Computer Interfaces with Fault-Based Data Acquisition. CoRR Cailin Winston, Caleb Winston, Chloe N. Winston, Claris Winston, Cleah Winston, Rajesh P. N. Rao, René Just
2022	B	`conf`	Touching the Void: Intracranial Stimulation for NeuroHaptic Feedback in Virtual Reality. SMC Courtnie Jean Paschall, Jason S. Hauptman, Rajesh P. N. Rao, Jeffrey G. Ojemann, Jeffrey Herron
2021	—	`conf`	A Platform for Virtual Reality Task Design with Intracranial Electrodes. EMBC Maurice Montag, Courtnie Paschall, Jeffrey G. Ojemann, Rajesh P. N. Rao, Jeffrey Herron
2021	J	`jnl`	Emergent behavior and neural dynamics in artificial agents tracking turbulent plumes. CoRR Satpreet Harcharan Singh, Floris van Breugel, Rajesh P. N. Rao, Bingni Wen Brunton
2020	J	`jnl`	Brain Co-Processors: Using AI to Restore and Augment Brain Function. CoRR Rajesh P. N. Rao
2020	J	`jnl`	Towards naturalistic human neuroscience and neuroengineering: behavior mining in long-term video and neural recordings. CoRR Satpreet H. Singh, Steven M. Peterson, Rajesh P. N. Rao, Bingni W. Brunton
2020	C	`conf`	Understanding biological plume tracking behavior using deep reinforcement-learning. ALIFE Satpreet H. Singh, Floris van Breugel, Rajesh P. N. Rao, Bingni W. Brunton
2020	—	`conf`	Unsupervised Sleep and Wake State Identification in Long-Term Electrocorticography Recordings. EMBC Samantha Sun, Linxing Preston Jiang, Steven M. Peterson, Jeffrey Herron, Kurt E. Weaver, Andrew L. Ko, Jeffrey G. Ojemann, Rajesh P. N. Rao
2019	J	`jnl`	Estimation of Vector Autoregressive Parameters and Granger Causality From Noisy Multichannel Data. IEEE Trans. Biomed. Eng. Prashant Rangarajan, Rajesh P. N. Rao
2018	A*	`conf`	AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video. AAAI Nancy Xin Ru Wang, Ali Farhadi, Rajesh P. N. Rao, Bingni W. Brunton
2018	J	`jnl`	BrainNet: A Multi-Person Brain-to-Brain Interface for Direct Collaboration Between Brains. CoRR Linxing Jiang, Andrea Stocco, Darby M. Losey, Justin A. Abernethy, Chantel S. Prat, Rajesh P. N. Rao
2018	B	`conf`	Electrocorticographic Dynamics Predict Sustained Grasping and Upper-Limb Kinetic Output. SMC Katie Ly, Jing Wu, Lila Levinson, Benjamin R. Shuman, Katherine M. Steele, Jeffrey G. Ojemann, Rajesh P. N. Rao
2018	A*	`conf`	Learning Graph-Structured Sum-Product Networks for Probabilistic Semantic Maps. AAAI Kaiyu Zheng, Andrzej Pronobis, Rajesh P. N. Rao
2018	J	`jnl`	The Indus Script and Economics. A Role for Indus Seals and Tablets in Rationing and Administration of Labor. CoRR Rajesh P. N. Rao
2018	J	`jnl`	Towards Neural Co-Processors: Combining Neural Decoding and Encoding in Brain-Computer Interfaces. CoRR Rajesh P. N. Rao
2017	J	`jnl`	AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video. CoRR Nancy Xin Ru Wang, Ali Farhadi, Rajesh P. N. Rao, Bingni W. Brunton
2017	J	`jnl`	Efficient human-robot collaboration: When should a robot take initiative? Int. J. Robotics Res. Jimmy Baraglia, Maya Cakmak, Yukie Nagai, Rajesh P. N. Rao, Minoru Asada
2017	J	`jnl`	Electrocorticographic Dynamics Predict Visually Guided Motor Imagery of Grasp Shaping. CoRR Jing Wu, Kaitlyn Casimo, David J. Caldwell, Rajesh P. N. Rao, Jeffrey G. Ojemann
2017	—	`conf`	Electrocorticographic dynamics predict visually guided motor imagery of grasp shaping. NER Jing Wu, Kaitlyn Casimo, David J. Caldwell, Rajesh P. N. Rao, Jeffrey G. Ojemann
2017	—	`conf`	Interactive web application for exploring matrices of neural connectivity. NER David J. Caldwell, Jing Wu, Kaitlyn Casimo, Jeffrey G. Ojemann, Rajesh P. N. Rao
2017	J	`jnl`	Learning Semantic Maps with Topological Spatial Relations Using Graph-Structured Sum-Product Networks. CoRR Kaiyu Zheng, Andrzej Pronobis, Rajesh P. N. Rao
2017	A	`conf`	Learning deep generative spatial models for mobile robots. IROS Andrzej Pronobis, Rajesh P. N. Rao
2017	J	`jnl`	Transformational Sparse Coding. CoRR Dimitrios C. Gklezakos, Rajesh P. N. Rao
2016	A	`conf`	Autonomous question answering with mobile robots in human-populated environments. IROS Michael Jae-Yoon Chung, Andrzej Pronobis, Maya Cakmak, Dieter Fox, Rajesh P. N. Rao
2016	J	`jnl`	Bayesian Inference and Online Learning in Poisson Neuronal Networks. Neural Comput. Yanping Huang, Rajesh P. N. Rao
2016	J	`jnl`	Cortico-Cortical Interactions during Acquisition and Use of a Neuroprosthetic Skill. PLoS Comput. Biol. Jeremiah D. Wander, Devapratim Sarma, Lise A. Johnson, Eberhard E. Fetz, Rajesh P. N. Rao, Jeffrey G. Ojemann, Felix Darvas
2016	A*	`conf`	Initiative in Robot Assistance during Collaborative Task Execution. HRI Jimmy Baraglia, Maya Cakmak, Yukie Nagai, Rajesh P. N. Rao, Minoru Asada
2016	J	`jnl`	Learning Deep Generative Spatial Models for Mobile Robots. CoRR Andrzej Pronobis, Rajesh P. N. Rao
2016	J	`jnl`	Multistep Model for Predicting Upper-Limb 3D Isometric Force Application from Pre-Movement Electrocorticographic Features. CoRR Jing Wu, Benjamin R. Shuman, Bingni W. Brunton, Katherine M. Steele, Jared D. Olson, Rajesh P. N. Rao, Jeffrey G. Ojemann
2016	—	`conf`	Multistep model for predicting upper-limb 3D isometric force application from pre-movement electrocorticographic features. EMBC Jing Wu, Benjamin R. Shuman, Bingni W. Brunton, Katherine M. Steele, Jared D. Olson, Rajesh P. N. Rao, Jeffrey G. Ojemann
2016	J	`jnl`	Navigating a 2D Virtual World Using Direct Brain Stimulation. Frontiers Robotics AI Darby M. Losey, Andrea Stocco, Justin A. Abernethy, Rajesh P. N. Rao
2016	J	`jnl`	New Perspectives on Neuroengineering and Neurotechnologies: NSF-DFG Workshop Report. IEEE Trans. Biomed. Eng. Chet T. Moritz, Patrick Ruther, Sara Goering, Alfred Stett, Tonio Ball, Wolfram Burgard, Eric H. Chudler, Rajesh P. N. Rao
2016	J	`jnl`	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. Kai J. Miller, Gerwin Schalk, Dora Hermes, Jeffrey G. Ojemann, Rajesh P. N. Rao
2016	J	`jnl`	Task-Specific Somatosensory Feedback via Cortical Stimulation in Humans. IEEE Trans. Haptics Jeneva A. Cronin, Jing Wu, Kelly L. Collins, Devapratim Sarma, Rajesh P. N. Rao, Jeffrey G. Ojemann, Jared D. Olson
2015	A	`conf`	Designing information gathering robots for human-populated environments. IROS Michael Jae-Yoon Chung, Andrzej Pronobis, Maya Cakmak, Dieter Fox, Rajesh P. N. Rao
2015	—	`conf`	Exploring the Potential of Information Gathering Robots. HRI (Extended Abstracts) Michael Jae-Yoon Chung, Andrzej Pronobis, Maya Cakmak, Dieter Fox, Rajesh P. N. Rao
2015	—	`ch.`	Near-Instantaneous Classification of Perceptual States from Cortical Surface Recordings. Brain-Computer Interface Research (4) Kai J. Miller, Gerwin Schalk, Dora Hermes, Jeffrey G. Ojemann, Rajesh P. N. Rao
2015	A*	`conf`	Robot Programming by Demonstration with situated spatial language understanding. ICRA Maxwell Forbes, Rajesh P. N. Rao, Luke Zettlemoyer, Maya Cakmak
2014	A*	`conf`	Accelerating imitation learning through crowdsourcing. ICRA Michael Jae-Yoon Chung, Maxwell Forbes, Maya Cakmak, Rajesh P. N. Rao
2014	J	`jnl`	Broadband changes in the cortical surface potential track activation of functionally diverse neuronal populations. NeuroImage Kai J. Miller, Christopher J. Honey, Dora Hermes, Rajesh P. N. Rao, Marcel den Nijs, Jeffrey G. Ojemann
2014	—	`conf`	Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks. NIPS Yanping Huang, Rajesh P. N. Rao
2014	B	`conf`	Robot Programming by Demonstration with Crowdsourced Action Fixes. HCOMP Maxwell Forbes, Michael Jae-Yoon Chung, Maya Cakmak, Rajesh P. N. Rao
2012	A*	`conf`	Automatic extraction of command hierarchies for adaptive brain-robot interfacing. ICRA Matthew J. Bryan, Griffin Nicoll, Vibinash Thomas, Mike Chung, Joshua R. Smith, Rajesh P. N. Rao
2012	J	`jnl`	Complementary Kernel Density Estimation. Pattern Recognit. Lett. Xu Miao, Ali Rahimi, Rajesh P. N. Rao
2012	J	`jnl`	Fast Structured Prediction Using Large Margin Sigmoid Belief Networks. Int. J. Comput. Vis. Xu Miao, Rajesh P. N. Rao
2012	—	`conf`	How Prior Probability Influences Decision Making: A Unifying Probabilistic Model. NIPS Yanping Huang, Abram L. Friesen, Timothy D. Hanks, Michael N. Shadlen, Rajesh P. N. Rao
2012	—	`conf`	Simultaneous brain-computer interfacing and motor control: Expanding the reach of non-invasive BCIs. EMBC Willy Cheung, Devapratim Sarma, Reinhold Scherer, Rajesh P. N. Rao
2011	A*	`conf`	A Hierarchical Architecture for Adaptive Brain-Computer Interfacing. IJCAI Mike Chung, Willy Cheung, Reinhold Scherer, Rajesh P. N. Rao
2011	—	`conf`	An adaptive brain-computer interface for humanoid robot control. Humanoids Matthew J. Bryan, Joshua Green, Mike Chung, Lillian Y. Chang, Reinhold Scherer, Joshua R. Smith, Rajesh P. N. Rao
2011	B	`conf`	Gaze Following as Goal Inference: A Bayesian Model. CogSci Abram L. Friesen, Rajesh P. N. Rao
2011	—	`conf`	Non-invasive Brain-Computer Interfaces: Enhanced Gaming and Robotic Control. IWANN (1) Reinhold Scherer, Elisabeth C. V. Friedrich, Brendan Z. Allison, Markus Pröll, Mike Chung, Willy Cheung, Rajesh P. N. Rao, Christa Neuper
2010	J	`jnl`	"Social" robots are psychological agents for infants: A test of gaze following. Neural Networks Andrew N. Meltzoff, Rechele Brooks, Aaron P. Shon, Rajesh P. N. Rao
2010	—	`conf`	A rational decision making framework for inhibitory control. NIPS Pradeep Shenoy, Rajesh P. N. Rao, Angela J. Yu
2010	J	`jnl`	Brain-Computer Interfacing [In the Spotlight]. IEEE Signal Process. Mag. Rajesh P. N. Rao, Reinhold Scherer
2010	J	`jnl`	Decision Making Under Uncertainty: A Neural Model Based on Partially Observable Markov Decision Processes. Frontiers Comput. Neurosci. Rajesh P. N. Rao
2010	J	`jnl`	Entropy, the Indus Script, and Language: A Reply to R. Sproat. Comput. Linguistics Rajesh P. N. Rao, Nisha Yadav, Mayank N. Vahia, Hrishikesh Joglekar, Ronojoy Adhikari, Iravatham Mahadevan
2010	—	`conf`	Imitation learning with hierarchical actions. ICDL Abram L. Friesen, Rajesh P. N. Rao
2010	J	`jnl`	Large Margin Boltzmann Machines and Large Margin Sigmoid Belief Networks CoRR Xu Miao, Rajesh P. N. Rao
2010	—	`ch.`	Learning to Imitate Human Actions through Eigenposes. From Motor Learning to Interaction Learning in Robots Rawichote Chalodhorn, Rajesh P. N. Rao
2010	J	`jnl`	Learning to Walk by Imitation in Low-Dimensional Subspaces. Adv. Robotics Rawichote Chalodhorn, David B. Grimes, Keith Grochow, Rajesh P. N. Rao
2010	J	`jnl`	Probabilistic Analysis of an Ancient Undeciphered Script. Computer Rajesh P. N. Rao
2009	J	`jnl`	A Markov model of the Indus script. Proc. Natl. Acad. Sci. USA Rajesh P. N. Rao, Nisha Yadav, Mayank N. Vahia, Hrishikesh Joglekar, Ronojoy Adhikari, Iravatham Mahadevan
2009	A*	`conf`	Large Margin Boltzmann Machines. IJCAI Xu Miao, Rajesh P. N. Rao
2009	—	`ch.`	Learning Actions through Imitation and Exploration: Towards Humanoid Robots That Learn from Humans. Creating Brain-Like Intelligence David B. Grimes, Rajesh P. N. Rao
2009	J	`jnl`	Statistical analysis of the Indus script using $n$-grams CoRR Nisha Yadav, Hrishikesh Joglekar, Rajesh P. N. Rao, Mayank N. Vahia, Iravatham Mahadevan, Ronojoy Adhikari
2009	A	`conf`	Using eigenposes for lossless periodic human motion imitation. IROS Rawichote Chalodhorn, Rajesh P. N. Rao
2008	J	`jnl`	Beyond the Gamma Band: The Role of High-Frequency Features in Movement Classification. IEEE Trans. Biomed. Eng. Kai J. Miller, Pradeep Shenoy, Marcel den Nijs, Larry B. Sorensen, Rajesh P. N. Rao, Jeffrey G. Ojemann
2008	A*	`conf`	Feasibility and pragmatics of classifying working memory load with an electroencephalograph. CHI David B. Grimes, Desney S. Tan, Scott E. Hudson, Pradeep Shenoy, Rajesh P. N. Rao
2008	J	`jnl`	Generalized Features for Electrocorticographic BCIs. IEEE Trans. Biomed. Eng. Pradeep Shenoy, Kai J. Miller, Jeffrey G. Ojemann, Rajesh P. N. Rao
2008	A	`conf`	Learning nonparametric policies by imitation. IROS David B. Grimes, Rajesh P. N. Rao
2008	J	`jnl`	Online Electromyographic Control of a Robotic Prosthesis. IEEE Trans. Biomed. Eng. Pradeep Shenoy, Kai J. Miller, Beau Crawford, Rajesh P. N. Rao
2007	J	`jnl`	A Cognitive Model of Imitative Development in Humans and Machines. Int. J. Humanoid Robotics Aaron P. Shon, Joshua J. Storz, Andrew N. Meltzoff, Rajesh P. N. Rao
2007	A*	`conf`	Active Imitation Learning. AAAI Aaron P. Shon, Deepak Verma, Rajesh P. N. Rao
2007	—	`conf`	Imitation Learning Using Graphical Models. ECML Deepak Verma, Rajesh P. N. Rao
2007	A	`conf`	Learning full-body motions from monocular vision: dynamic imitation in a humanoid robot. IROS Jeffrey B. Cole, David B. Grimes, Rajesh P. N. Rao
2007	J	`jnl`	Learning the Lie Groups of Visual Invariance. Neural Comput. Xu Miao, Rajesh P. N. Rao
2007	A*	`conf`	Learning to Walk through Imitation. IJCAI Rawichote Chalodhorn, David B. Grimes, Keith Grochow, Rajesh P. N. Rao
2007	J	`jnl`	Real-time functional brain mapping using electrocorticography. NeuroImage Kai J. Miller, Marcel den Nijs, Pradeep Shenoy, John W. Miller, Rajesh P. N. Rao, Jeffrey G. Ojemann
2007	A*	`conf`	Towards a Real-Time Bayesian Imitation System for a Humanoid Robot. ICRA Aaron P. Shon, Joshua J. Storz, Rajesh P. N. Rao
2006	J	`jnl`	A probabilistic model of gaze imitation and shared attention. Neural Networks Matthew W. Hoffman, David B. Grimes, Aaron P. Shon, Rajesh P. N. Rao
2006	—	`conf`	Dynamic Imitation in a Humanoid Robot through Nonparametric Probabilistic Inference. Robotics: Science and Systems David B. Grimes, Rawichote Chalodhorn, Rajesh P. N. Rao
2006	A*	`conf`	Learning Humanoid Motion Dynamics through Sensory-motor Mapping in Reduced Dimensional Spaces. ICRA Rawichote Chalodhorn, David B. Grimes, Gabriel Y. Maganis, Rajesh P. N. Rao, Minoru Asada
2006	—	`conf`	Learning Nonparametric Models for Probabilistic Imitation. NIPS David B. Grimes, Daniel R. Rashid, Rajesh P. N. Rao
2006	A	`conf`	Planning and Acting in Uncertain Environments using Probabilistic Inference. IROS Deepak Verma, Rajesh P. N. Rao
2005	J	`jnl`	Bilinear Sparse Coding for Invariant Vision. Neural Comput. David B. Grimes, Rajesh P. N. Rao
2005	—	`conf`	Goal-Based Imitation as Probabilistic Inference over Graphical Models. NIPS Deepak Verma, Rajesh P. N. Rao
2005	J	`jnl`	Implementing belief propagation in neural circuits. Neurocomputing Aaron P. Shon, Rajesh P. N. Rao
2005	—	`conf`	Learning Shared Latent Structure for Image Synthesis and Robotic Imitation. NIPS Aaron P. Shon, Keith Grochow, Aaron Hertzmann, Rajesh P. N. Rao
2005	—	`conf`	Learning dynamic humanoid motion using predictive control in low dimensional subspaces. Humanoids Rawichote Chalodhorn, David B. Grimes, Gabriel Y. Maganis, Rajesh P. N. Rao
2005	J	`jnl`	Learning temporal clusters with synaptic facilitation and lateral inhibition. Neurocomputing Chris L. Baker, Aaron P. Shon, Rajesh P. N. Rao
2005	A*	`conf`	Probabilistic Gaze Imitation and Saliency Learning in a Robotic Head. ICRA Aaron P. Shon, David B. Grimes, Chris L. Baker, Matthew W. Hoffman, Shengli Zhou, Rajesh P. N. Rao
2005	A*	`conf`	Real-Time Classification of Electromyographic Signals for Robotic Control. AAAI Beau Crawford, Kai J. Miller, Pradeep Shenoy, Rajesh P. N. Rao
2005	—	`conf`	Robotic imitation from human motion capture using Gaussian processes. Humanoids Aaron P. Shon, Keith Grochow, Rajesh P. N. Rao
2004	J	`jnl`	Bayesian Computation in Recurrent Neural Circuits. Neural Comput. Rajesh P. N. Rao
2004	—	`conf`	Dynamic Bayesian Networks for Brain-Computer Interfaces. NIPS Pradeep Shenoy, Rajesh P. N. Rao
2004	—	`conf`	Hierarchical Bayesian Inference in Networks of Spiking Neurons. NIPS Rajesh P. N. Rao
2003	J	`jnl`	Learning temporal patterns by redistribution of synaptic efficacy. Neurocomputing Aaron P. Shon, Rajesh P. N. Rao
2003	A*	`conf`	Probabilistic Bilinear Models for Appearance-Based Vision. ICCV David B. Grimes, Aaron P. Shon, Rajesh P. N. Rao
2002	—	`conf`	A Bilinear Model for Sparse Coding. NIPS David B. Grimes, Rajesh P. N. Rao
2001	J	`jnl`	Optimal Smoothing in Visual Motion Perception. Neural Comput. Rajesh P. N. Rao, David M. Eagleman, Terrence J. Sejnowski
2001	J	`jnl`	Spike-Timing-Dependent Hebbian Plasticity as Temporal Difference Learning. Neural Comput. Rajesh P. N. Rao, Terrence J. Sejnowski
2000	J	`jnl`	A single-spike model of predictive coding. Neurocomputing Dana H. Ballard, Rajesh P. N. Rao, Zuohua Zhang
2000	J	`jnl`	Corrigendum to "Upward separation for FewP and related classes". Inf. Process. Lett. Rajesh P. N. Rao, Jörg Rothe, Osamu Watanabe
1999	—	`conf`	Predictive Sequence Learning in Recurrent Neocortical Circuits. NIPS Rajesh P. N. Rao, Terrence J. Sejnowski
1998	J	`jnl`	Hierarchical Learning of Navigational Behaviors in an Autonomous Robot using a Predictive Sparse Distributed Memory. Auton. Robots Rajesh P. N. Rao, Olac Fuentes
1998	J	`jnl`	Hierarchical Learning of Navigational Behaviors in an Autonomous Robot using a Predictive Sparse Distributed Memory. Mach. Learn. Rajesh P. N. Rao, Olac Fuentes
1998	—	`conf`	Learning Lie Groups for Invariant Visual Perception. NIPS Rajesh P. N. Rao, Daniel L. Ruderman
1997	—	`conf`	Correlates of Attention in a Model of Dynamic Visual Recognition. NIPS Rajesh P. N. Rao
1997	A*	`conf`	Dynamic Appearance-Based Recognition. CVPR Rajesh P. N. Rao
1997	J	`jnl`	Dynamic Model of Visual Recognition Predicts Neural Response Properties in the Visual Cortex. Neural Comput. Rajesh P. N. Rao, Dana H. Ballard
1995	J	`jnl`	A Note on P-Selective Sets and Closeness. Inf. Process. Lett. Rajesh P. N. Rao
1995	J	`jnl`	An Active Vision Architecture Based on Iconic Representations. Artif. Intell. Rajesh P. N. Rao, Dana H. Ballard
1995	—	`conf`	Modeling Saccadic Targeting in Visual Search. NIPS Rajesh P. N. Rao, Gregory J. Zelinsky, Mary M. Hayhoe, Dana H. Ballard
1995	A*	`conf`	Natural Basis Functions and Topographic Memory for Face Recognition. IJCAI Rajesh P. N. Rao, Dana H. Ballard
1995	A*	`conf`	Object Indexing Using an Iconic Sparse Distributed Memory. ICCV Rajesh P. N. Rao, Dana H. Ballard
1995	—	`conf`	Towards a Functional Theory of Vision Based on Visual Routines. DAGM-Symposium Dana H. Ballard, Rajesh P. N. Rao
1994	—	`conf`	Learning Saccadic Eye Movements Using Multiscale Spatial Filters. NIPS Rajesh P. N. Rao, Dana H. Ballard
1994	—	`conf`	Seeing Behind Occlusions. ECCV (1) Dana H. Ballard, Rajesh P. N. Rao
1994	J	`jnl`	Upward Separation for FewP and Related Classes. Inf. Process. Lett. Rajesh P. N. Rao, Jörg Rothe, Osamu Watanabe
1982	J	`jnl`	Chromosome-bound mitotic factors: release by endonucleases. Nucleic Acids Res. R. C. Adlakha, C. G. Sahasrabuddhe, David A. Wright, W. F. Lindsey, M. L. Smith, Rajesh P. N. Rao