67 results on '"Rajesh P. N . Rao"'
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2. An Immersive Virtual Reality Platform Integrating Human ECOG & sEEG: Implementation & Noise Analysis.
3. Touching the Void: Intracranial Stimulation for NeuroHaptic Feedback in Virtual Reality.
4. Human intracortical responses to varying electrical stimulation conditions are separable in low-dimensional subspaces.
5. Expressive probabilistic sampling in recurrent neural networks.
6. Dynamic Predictive Coding Explains Both Prediction and Postdiction in Visual Motion Perception.
7. Active Predictive Coding: A Unified Neural Framework for Learning Hierarchical World Models for Perception and Planning.
8. A Platform for Virtual Reality Task Design with Intracranial Electrodes.
9. Unsupervised Sleep and Wake State Identification in Long-Term Electrocorticography Recordings.
10. Understanding biological plume tracking behavior using deep reinforcement-learning.
11. Electrocorticographic Dynamics Predict Sustained Grasping and Upper-Limb Kinetic Output.
12. AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video.
13. Learning Graph-Structured Sum-Product Networks for Probabilistic Semantic Maps.
14. Learning deep generative spatial models for mobile robots.
15. Electrocorticographic dynamics predict visually guided motor imagery of grasp shaping.
16. Interactive web application for exploring matrices of neural connectivity.
17. Autonomous question answering with mobile robots in human-populated environments.
18. Multistep model for predicting upper-limb 3D isometric force application from pre-movement electrocorticographic features.
19. Initiative in Robot Assistance during Collaborative Task Execution.
20. Designing information gathering robots for human-populated environments.
21. Robot Programming by Demonstration with situated spatial language understanding.
22. Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks.
23. Robot Programming by Demonstration with Crowdsourced Action Fixes.
24. Accelerating imitation learning through crowdsourcing.
25. How Prior Probability Influences Decision Making: A Unifying Probabilistic Model.
26. Simultaneous brain-computer interfacing and motor control: Expanding the reach of non-invasive BCIs.
27. Automatic extraction of command hierarchies for adaptive brain-robot interfacing.
28. Non-invasive Brain-Computer Interfaces: Enhanced Gaming and Robotic Control.
29. A Hierarchical Architecture for Adaptive Brain-Computer Interfacing.
30. An adaptive brain-computer interface for humanoid robot control.
31. Imitation learning with hierarchical actions.
32. A rational decision making framework for inhibitory control.
33. Using eigenposes for lossless periodic human motion imitation.
34. Large Margin Boltzmann Machines.
35. Learning nonparametric policies by imitation.
36. Feasibility and pragmatics of classifying working memory load with an electroencephalograph.
37. Learning full-body motions from monocular vision: dynamic imitation in a humanoid robot.
38. Imitation Learning Using Graphical Models.
39. Learning to Walk through Imitation.
40. Towards a Real-Time Bayesian Imitation System for a Humanoid Robot.
41. Active Imitation Learning.
42. Planning and Acting in Uncertain Environments using Probabilistic Inference.
43. Learning Nonparametric Models for Probabilistic Imitation.
44. Learning Humanoid Motion Dynamics through Sensory-motor Mapping in Reduced Dimensional Spaces.
45. Goal-Based Imitation as Probabilistic Inference over Graphical Models.
46. Learning Shared Latent Structure for Image Synthesis and Robotic Imitation.
47. Robotic imitation from human motion capture using Gaussian processes.
48. Learning dynamic humanoid motion using predictive control in low dimensional subspaces.
49. Probabilistic Gaze Imitation and Saliency Learning in a Robotic Head.
50. Real-Time Classification of Electromyographic Signals for Robotic Control.
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