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Rajesh P. N. Rao
Raj P. N. Rao
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- affiliation: University of Washington, Seattle, Washington, USA
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2020 – today
- 2024
- [j44]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): 1-32 (2024) - [j43]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) - 2023
- [j42]Satpreet H. Singh
Emergent behaviour and neural dynamics in artificial agents tracking odour plumes. Nat. Mac. Intell. 5(1): 58-70 (2023) - [c68]Linxing Preston Jiang, Rajesh P. N. Rao:
Dynamic Predictive Coding Explains Both Prediction and Postdiction in Visual Motion Perception. CogSci 2023 - [c67]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 - [c66]Shirui Chen, Linxing Jiang, Rajesh P. N. Rao, Eric Shea-Brown:
Expressive probabilistic sampling in recurrent neural networks. NeurIPS 2023 - [i23]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 abs/2308.07870 (2023) - [i22]Shirui Chen, Linxing Preston Jiang, Rajesh P. N. Rao, Eric Shea-Brown:
Expressive probabilistic sampling in recurrent neural networks. CoRR abs/2308.11809 (2023) - [i21]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 abs/2312.17479 (2023) - 2022
- [c65]Courtnie Paschall, Rajesh P. N. Rao, Jason S. Hauptman, Jeffrey G. Ojemann, Jeffrey Herron:
An Immersive Virtual Reality Platform Integrating Human ECOG & sEEG: Implementation & Noise Analysis. EMBC 2022: 3105-3110 - [c64]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: 1869-1880 - [c63]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: 317-324 - [c62]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:
Human intracortical responses to varying electrical stimulation conditions are separable in low-dimensional subspaces. SMC 2022: 2663-2668 - [i20]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 abs/2201.08813 (2022) - [i19]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 abs/2203.10677 (2022) - [i18]Ares Fisher, Rajesh P. N. Rao:
Recursive Neural Programs: Variational Learning of Image Grammars and Part-Whole Hierarchies. CoRR abs/2206.08462 (2022) - [i17]Dimitrios C. Gklezakos, Rishi Jha, Rajesh P. N. Rao:
Hyper-Universal Policy Approximation: Learning to Generate Actions from a Single Image using Hypernets. CoRR abs/2207.03593 (2022) - [i16]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 abs/2210.11478 (2022) - [i15]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 abs/2210.13461 (2022) - 2021
- [c61]Maurice Montag, Courtnie Paschall
A Platform for Virtual Reality Task Design with Intracranial Electrodes. EMBC 2021: 6659-6662 - [i14]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 abs/2109.12434 (2021) - 2020
- [c60]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: 629-632 - [c59]Satpreet H. Singh
Understanding biological plume tracking behavior using deep reinforcement-learning. ALIFE 2020: 750-752 - [i13]Satpreet H. Singh
Towards naturalistic human neuroscience and neuroengineering: behavior mining in long-term video and neural recordings. CoRR abs/2001.08349 (2020) - [i12]Rajesh P. N. Rao:
Brain Co-Processors: Using AI to Restore and Augment Brain Function. CoRR abs/2012.03378 (2020)
2010 – 2019
- 2019
- [j41]Prashant Rangarajan, Rajesh P. N. Rao
Estimation of Vector Autoregressive Parameters and Granger Causality From Noisy Multichannel Data. IEEE Trans. Biomed. Eng. 66(8): 2231-2240 (2019) - 2018
- [c58]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: 2524-2531 - [c57]Kaiyu Zheng, Andrzej Pronobis, Rajesh P. N. Rao:
Learning Graph-Structured Sum-Product Networks for Probabilistic Semantic Maps. AAAI 2018: 4547-4555 - [c56]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: 110-114 - [i11]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 abs/1809.08632 (2018) - [i10]Rajesh P. N. Rao:
Towards Neural Co-Processors: Combining Neural Decoding and Encoding in Brain-Computer Interfaces. CoRR abs/1811.11876 (2018) - [i9]Rajesh P. N. Rao:
The Indus Script and Economics. A Role for Indus Seals and Tablets in Rationing and Administration of Labor. CoRR abs/1812.00049 (2018) - 2017
- [j40]Jimmy Baraglia, Maya Cakmak, Yukie Nagai, Rajesh P. N. Rao
Efficient human-robot collaboration: When should a robot take initiative? Int. J. Robotics Res. 36(5-7): 563-579 (2017) - [c55]Andrzej Pronobis, Rajesh P. N. Rao
Learning deep generative spatial models for mobile robots. IROS 2017: 755-762 - [c54]David J. Caldwell
Interactive web application for exploring matrices of neural connectivity. NER 2017: 42-45 - [c53]Jing Wu, Kaitlyn Casimo, David J. Caldwell
Electrocorticographic dynamics predict visually guided motor imagery of grasp shaping. NER 2017: 199-202 - [i8]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 abs/1702.06251 (2017) - [i7]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 abs/1709.05939 (2017) - [i6]Kaiyu Zheng, Andrzej Pronobis, Rajesh P. N. Rao:
Learning Semantic Maps with Topological Spatial Relations Using Graph-Structured Sum-Product Networks. CoRR abs/1709.08274 (2017) - [i5]Dimitrios C. Gklezakos, Rajesh P. N. Rao:
Transformational Sparse Coding. CoRR abs/1712.03257 (2017) - 2016
- [j39]Darby M. Losey, Andrea Stocco
Navigating a 2D Virtual World Using Direct Brain Stimulation. Frontiers Robotics AI 3: 72 (2016) - [j38]Yanping Huang, Rajesh P. N. Rao
Bayesian Inference and Online Learning in Poisson Neuronal Networks. Neural Comput. 28(8): 1503-1526 (2016) - [j37]Kai J. Miller, Gerwin Schalk
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) - [j36]Jeremiah D. Wander, Devapratim Sarma, Lise A. Johnson, Eberhard E. Fetz, Rajesh P. N. Rao
Cortico-Cortical Interactions during Acquisition and Use of a Neuroprosthetic Skill. PLoS Comput. Biol. 12(8) (2016) - [j35]Chet T. Moritz
New Perspectives on Neuroengineering and Neurotechnologies: NSF-DFG Workshop Report. IEEE Trans. Biomed. Eng. 63(7): 1354-1367 (2016) - [j34]Jeneva A. Cronin, Jing Wu, Kelly L. Collins, Devapratim Sarma, Rajesh P. N. Rao
Task-Specific Somatosensory Feedback via Cortical Stimulation in Humans. IEEE Trans. Haptics 9(4): 515-522 (2016) - [c52]Jing Wu, Benjamin R. Shuman, Bingni W. Brunton, Katherine M. Steele
Multistep model for predicting upper-limb 3D isometric force application from pre-movement electrocorticographic features. EMBC 2016: 1564-1567 - [c51]Jimmy Baraglia, Maya Cakmak, Yukie Nagai, Rajesh P. N. Rao
Initiative in Robot Assistance during Collaborative Task Execution. HRI 2016: 67-74 - [c50]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: 823-830 - [i4]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 abs/1605.05291 (2016) - [i3]Andrzej Pronobis, Rajesh P. N. Rao:
Learning Deep Generative Spatial Models for Mobile Robots. CoRR abs/1610.02627 (2016) - 2015
- [c49]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: 29-30 - [c48]Maxwell Forbes, Rajesh P. N. Rao
Robot Programming by Demonstration with situated spatial language understanding. ICRA 2015: 2014-2020 - [c47]Michael Jae-Yoon Chung, Andrzej Pronobis, Maya Cakmak, Dieter Fox, Rajesh P. N. Rao
Designing information gathering robots for human-populated environments. IROS 2015: 5755-5762 - [p3]Kai J. Miller, Gerwin Schalk, Dora Hermes, Jeffrey G. Ojemann, Rajesh P. N. Rao:
Near-Instantaneous Classification of Perceptual States from Cortical Surface Recordings. Brain-Computer Interface Research (4) 2015: 105-114 - 2014
- [j33]Kai J. Miller, Christopher J. Honey
Broadband changes in the cortical surface potential track activation of functionally diverse neuronal populations. NeuroImage 85: 711-720 (2014) - [c46]Qiao Zhang, Shyamnath Gollakota, Ben Taskar, Raj P. N. Rao
Non-intrusive tongue machine interface. CHI 2014: 2555-2558 - [c45]Maxwell Forbes, Michael Jae-Yoon Chung, Maya Cakmak, Rajesh P. N. Rao:
Robot Programming by Demonstration with Crowdsourced Action Fixes. HCOMP 2014: 67-76 - [c44]Michael Jae-Yoon Chung, Maxwell Forbes, Maya Cakmak, Rajesh P. N. Rao
Accelerating imitation learning through crowdsourcing. ICRA 2014: 4777-4784 - [c43]Yanping Huang, Rajesh P. N. Rao:
Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks. NIPS 2014: 1943-1951 - 2012
- [j32]Xu Miao, Rajesh P. N. Rao
Fast Structured Prediction Using Large Margin Sigmoid Belief Networks. Int. J. Comput. Vis. 99(3): 302-318 (2012) - [j31]Xu Miao, Ali Rahimi, Rajesh P. N. Rao
Complementary Kernel Density Estimation. Pattern Recognit. Lett. 33(10): 1381-1387 (2012) - [c42]Willy Cheung, Devapratim Sarma, Reinhold Scherer
Simultaneous brain-computer interfacing and motor control: Expanding the reach of non-invasive BCIs. EMBC 2012: 6715-6718 - [c41]Matthew J. 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: 3691-3697 - [c40]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: 1277-1285 - 2011
- [c39]Abram L. Friesen, Rajesh P. N. Rao:
Gaze Following as Goal Inference: A Bayesian Model. CogSci 2011 - [c38]Matthew J. Bryan, Joshua Green, Mike Chung, Lillian Y. Chang, Reinhold Scherer
An adaptive brain-computer interface for humanoid robot control. Humanoids 2011: 199-204 - [c37]Mike Chung, Willy Cheung, Reinhold Scherer
A Hierarchical Architecture for Adaptive Brain-Computer Interfacing. IJCAI 2011: 1647-1652 - [c36]Reinhold Scherer
Non-invasive Brain-Computer Interfaces: Enhanced Gaming and Robotic Control. IWANN (1) 2011: 362-369 - 2010
- [j30]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): 207-232 (2010) - [j29]Rajesh P. N. Rao
Entropy, the Indus Script, and Language: A Reply to R. Sproat. Comput. Linguistics 36(4): 795-805 (2010) - [j28]Rajesh P. N. Rao
Probabilistic Analysis of an Ancient Undeciphered Script. Computer 43(4): 76-80 (2010) - [j27]Rajesh P. N. Rao
Decision Making Under Uncertainty: A Neural Model Based on Partially Observable Markov Decision Processes. Frontiers Comput. Neurosci. 4: 146 (2010) - [j26]Andrew N. Meltzoff
"Social" robots are psychological agents for infants: A test of gaze following. Neural Networks 23(8-9): 966-972 (2010) - [j25]Rajesh P. N. Rao
Brain-Computer Interfacing [In the Spotlight]. IEEE Signal Process. Mag. 27(4): 152-150 (2010) - [c35]Abram L. Friesen, Rajesh P. N. Rao
Imitation learning with hierarchical actions. ICDL 2010: 263-268 - [c34]Pradeep Shenoy, Rajesh P. N. Rao, Angela J. Yu:
A rational decision making framework for inhibitory control. NIPS 2010: 2146-2154 - [p2]Rawichote Chalodhorn, Rajesh P. N. Rao
Learning to Imitate Human Actions through Eigenposes. From Motor Learning to Interaction Learning in Robots 2010: 357-381 - [i2]Xu Miao, Rajesh P. N. Rao:
Large Margin Boltzmann Machines and Large Margin Sigmoid Belief Networks. CoRR abs/1003.4781 (2010)
2000 – 2009
- 2009
- [j24]Rajesh P. N. Rao
A Markov model of the Indus script. Proc. Natl. Acad. Sci. USA 106(33): 13685-13690 (2009) - [c33]Xu Miao, Rajesh P. N. Rao:
Large Margin Boltzmann Machines. IJCAI 2009: 1156-1162 - [c32]Rawichote Chalodhorn, Rajesh P. N. Rao
Using eigenposes for lossless periodic human motion imitation. IROS 2009: 2502-2509 - [p1]David B. Grimes, Rajesh P. N. Rao
Learning Actions through Imitation and Exploration: Towards Humanoid Robots That Learn from Humans. Creating Brain-Like Intelligence 2009: 103-138 - [i1]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 abs/0901.3017 (2009) - 2008
- [j23]Pradeep Shenoy, Kai J. Miller, Jeffrey G. Ojemann
Generalized Features for Electrocorticographic BCIs. IEEE Trans. Biomed. Eng. 55(1): 273-280 (2008) - [j22]Pradeep Shenoy, Kai J. Miller, Beau Crawford, Rajesh P. N. Rao
Online Electromyographic Control of a Robotic Prosthesis. IEEE Trans. Biomed. Eng. 55(3): 1128-1135 (2008) - [j21]Kai J. Miller, Pradeep Shenoy, Marcel den Nijs, Larry B. Sorensen, Rajesh P. N. Rao
Beyond the Gamma Band: The Role of High-Frequency Features in Movement Classification. IEEE Trans. Biomed. Eng. 55(5): 1634-1637 (2008) - [c31]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: 835-844 - [c30]David B. Grimes, Rajesh P. N. Rao
Learning nonparametric policies by imitation. IROS 2008: 2022-2028 - 2007
- [j20]Aaron P. Shon, Joshua J. Storz, Andrew N. Meltzoff
A Cognitive Model of Imitative Development in Humans and Machines. Int. J. Humanoid Robotics 4(2): 387-406 (2007) - [j19]Xu Miao, Rajesh P. N. Rao
Learning the Lie Groups of Visual Invariance. Neural Comput. 19(10): 2665-2693 (2007) - [j18]Kai J. Miller, Marcel den Nijs, Pradeep Shenoy, John W. Miller, Rajesh P. N. Rao
Real-time functional brain mapping using electrocorticography. NeuroImage 37(2): 504-507 (2007) - [c29]Aaron P. Shon, Deepak Verma, Rajesh P. N. Rao:
Active Imitation Learning. AAAI 2007: 756-762 - [c28]Deepak Verma, Rajesh P. N. Rao
Imitation Learning Using Graphical Models. ECML 2007: 757-764 - [c27]Aaron P. Shon, Joshua J. Storz, Rajesh P. N. Rao
Towards a Real-Time Bayesian Imitation System for a Humanoid Robot. ICRA 2007: 2847-2852 - [c26]Rawichote Chalodhorn, David B. Grimes, Keith Grochow, Rajesh P. N. Rao:
Learning to Walk through Imitation. IJCAI 2007: 2084-2090 - [c25]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: 240-246 - 2006
- [j17]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): 299-310 (2006) - [c24]Rawichote Chalodhorn, David B. Grimes, Gabriel Y. Maganis, Rajesh P. N. Rao
Learning Humanoid Motion Dynamics through Sensory-motor Mapping in Reduced Dimensional Spaces. ICRA 2006: 3693-3698 - [c23]Deepak Verma, Rajesh P. N. Rao
Planning and Acting in Uncertain Environments using Probabilistic Inference. IROS 2006: 2382-2387 - [c22]David B. Grimes, Daniel R. Rashid, Rajesh P. N. Rao:
Learning Nonparametric Models for Probabilistic Imitation. NIPS 2006: 521-528 - [c21]David B. Grimes, Rawichote Chalodhorn, Rajesh P. N. Rao
Dynamic Imitation in a Humanoid Robot through Nonparametric Probabilistic Inference. Robotics: Science and Systems 2006 - 2005
- [j16]Aaron P. Shon, Rajesh P. N. Rao
Implementing belief propagation in neural circuits. Neurocomputing 65-66: 393-399 (2005) - [j15]Chris L. Baker, Aaron P. Shon, Rajesh P. N. Rao
Learning temporal clusters with synaptic facilitation and lateral inhibition. Neurocomputing 65-66: 877-884 (2005) - [j14]David B. Grimes, Rajesh P. N. Rao
Bilinear Sparse Coding for Invariant Vision. Neural Comput. 17(1): 47-73 (2005) - [c20]Beau Crawford, Kai J. Miller, Pradeep Shenoy, Rajesh P. N. Rao:
Real-Time Classification of Electromyographic Signals for Robotic Control. AAAI 2005: 523-528 - [c19]Aaron P. Shon, Keith Grochow, Rajesh P. N. Rao
Robotic imitation from human motion capture using Gaussian processes. Humanoids 2005: 129-134 - [c18]Rawichote Chalodhorn, David B. Grimes, Gabriel Y. Maganis, Rajesh P. N. Rao
Learning dynamic humanoid motion using predictive control in low dimensional subspaces. Humanoids 2005: 214-219 - [c17]Aaron P. Shon, David B. Grimes, Chris L. Baker, Matthew W. Hoffman, Shengli Zhou, Rajesh P. N. Rao
Probabilistic Gaze Imitation and Saliency Learning in a Robotic Head. ICRA 2005: 2865-2870 - [c16]Aaron P. Shon, Keith Grochow, Aaron Hertzmann, Rajesh P. N. Rao:
Learning Shared Latent Structure for Image Synthesis and Robotic Imitation. NIPS 2005: 1233-1240 - [c15]Deepak Verma, Rajesh P. N. Rao:
Goal-Based Imitation as Probabilistic Inference over Graphical Models. NIPS 2005: 1393-1400 - 2004
- [j13]Rajesh P. N. Rao
Bayesian Computation in Recurrent Neural Circuits. Neural Comput. 16(1): 1-38 (2004) - [c14]Rajesh P. N. Rao:
Hierarchical Bayesian Inference in Networks of Spiking Neurons. NIPS 2004: 1113-1120 - [c13]Pradeep Shenoy, Rajesh P. N. Rao:
Dynamic Bayesian Networks for Brain-Computer Interfaces. NIPS 2004: 1265-1272 - 2003
- [j12]Aaron P. Shon, Rajesh P. N. Rao
Learning temporal patterns by redistribution of synaptic efficacy. Neurocomputing 52-54: 13-18 (2003) - [c12]David B. Grimes, Aaron P. Shon, Rajesh P. N. Rao
Probabilistic Bilinear Models for Appearance-Based Vision. ICCV 2003: 1478-1485 - 2002
- [c11]David B. Grimes, Rajesh P. N. Rao:
A Bilinear Model for Sparse Coding. NIPS 2002: 1287-1294 - 2001
- [j11]Rajesh P. N. Rao
Optimal Smoothing in Visual Motion Perception. Neural Comput. 13(6): 1243-1253 (2001) - [j10]Rajesh P. N. Rao
Spike-Timing-Dependent Hebbian Plasticity as Temporal Difference Learning. Neural Comput. 13(10): 2221-2237 (2001) - 2000
- [j9]Dana H. Ballard, Rajesh P. N. Rao
A single-spike model of predictive coding. Neurocomputing 32-33: 17-23 (2000) - [j8]Rajesh P. N. Rao, Jörg Rothe, Osamu Watanabe:
Corrigendum to "Upward separation for FewP and related classes". Inf. Process. Lett. 74(1-2): 89 (2000)
1990 – 1999
- 1999
- [c10]Rajesh P. N. Rao, Terrence J. Sejnowski:
Predictive Sequence Learning in Recurrent Neocortical Circuits. NIPS 1999: 164-170 - 1998
- [j7]Rajesh P. N. Rao
Hierarchical Learning of Navigational Behaviors in an Autonomous Robot using a Predictive Sparse Distributed Memory. Auton. Robots 5(3-4): 297-316 (1998) - [j6]Rajesh P. N. Rao
Hierarchical Learning of Navigational Behaviors in an Autonomous Robot using a Predictive Sparse Distributed Memory. Mach. Learn. 31(1-3): 87-113 (1998) - [c9]Rajesh P. N. Rao, Daniel L. Ruderman:
Learning Lie Groups for Invariant Visual Perception. NIPS 1998: 810-816 - 1997
- [j5]Rajesh P. N. Rao
Dynamic Model of Visual Recognition Predicts Neural Response Properties in the Visual Cortex. Neural Comput. 9(4): 721-763 (1997) - [c8]Rajesh P. N. Rao:
Dynamic Appearance-Based Recognition. CVPR 1997: 540-546 - [c7]Rajesh P. N. Rao:
Correlates of Attention in a Model of Dynamic Visual Recognition. NIPS 1997: 80-86 - 1995
- [j4]Rajesh P. N. Rao
An Active Vision Architecture Based on Iconic Representations. Artif. Intell. 78(1-2): 461-505 (1995) - [j3]Rajesh P. N. Rao
A Note on P-Selective Sets and Closeness. Inf. Process. Lett. 54(3): 179-185 (1995) - [c6]Dana H. Ballard, Rajesh P. N. Rao:
Towards a Functional Theory of Vision Based on Visual Routines. DAGM-Symposium 1995: 646-667 - [c5]Rajesh P. N. Rao, Dana H. Ballard:
Object Indexing Using an Iconic Sparse Distributed Memory. ICCV 1995: 24- - [c4]Rajesh P. N. Rao, Dana H. Ballard:
Natural Basis Functions and Topographic Memory for Face Recognition. IJCAI 1995: 10-19 - [c3]Rajesh P. N. Rao, Gregory J. Zelinsky, Mary M. Hayhoe, Dana H. Ballard:
Modeling Saccadic Targeting in Visual Search. NIPS 1995: 830-836 - 1994
- [j2]Rajesh P. N. Rao
Upward Separation for FewP and Related Classes. Inf. Process. Lett. 52(4): 175-180 (1994) - [c2]Dana H. Ballard, Rajesh P. N. Rao
Seeing Behind Occlusions. ECCV (1) 1994: 274-285 - [c1]Rajesh P. N. Rao, Dana H. Ballard:
Learning Saccadic Eye Movements Using Multiscale Spatial Filters. NIPS 1994: 893-900
1980 – 1989
- 1982
- [j1]R. C. Adlakha, C. G. Sahasrabuddhe, David A. Wright, W. F. Lindsey, M. L. Smith, Rajesh P. N. Rao:
Chromosome-bound mitotic factors: release by endonucleases. Nucleic Acids Res. 10(13): 4107-4117 (1982)
Coauthor Index
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last updated on 2024-09-19 23:41 CEST by the dblp team
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