Computational Neuroscience and Brain-Computer Interfaces

Selected Publications

Books

• 
  Bayesian Brain: Probabilistic Approaches to Neural Coding (co-edited volume, MIT Press, 2007)
• 
  Probabilistic Models of the Brain (co-edited volume, MIT Press, 2002)
• Review by Josh McDermott (Nature Neurosci. 5(9), 829, 2002)

Articles

• Decision making under uncertainty: A neural model based on POMDPs (Frontiers in Computational Neuroscience, 2010)
• Cortical activity during motor execution, motor imagery, and imagery-based online feedback (with K. Miller et al., Proceedings of the National Academy of Sciences (PNAS), February 2010)
• Press coverage
• Nonlinear coupling mediates communication between distant sites in human neocortex (with F. Darvas et al., J. Neuroscience, 29(2):426-35, 2009)
• Rating of "Must Read" and evaluation by Wolf Singer in Faculty of 1000 Biology
• Robust, long-term control of an ECoG brain-computer interface (with T. Blakely et al., Neurosurg Focus, 27(1), 2009)
• Classification of contralateral and ipsilateral finger movements (with R. Scherer et al., Neurosurg Focus, 27(1), 2009)
• Feature correlation in an ECoG BCI (with K. Miller et al., IEEE Eng Med Biol Soc., 5318-21, 2008)
• Localization and classification of phonemes using ECoG (with T. Blakely et al., IEEE Eng Med Biol Soc., 4964-7, 2008)
• 
  Control of a humanoid robot by a noninvasive brain-computer interface in humans (Featured cover article, with C. Bell et al., J Neural Eng, 5(2):214-20, 2008). One of the seven Highlights of 2008. See also Press Coverage above.
• Online electromyographic control of a robotic prosthesis (with P. Shenoy et al., IEEE Trans Biomed Eng, 55(3):1128-35, 2008)
• Generalized features for electrocorticographic BCIs (with P. Shenoy et al., IEEE Trans Biomed Eng., 55(1):273-80, 2008)
• Beyond the gamma band: the role of high-frequency features in movement classification (with K. Miller et al., IEEE Trans Biomed Eng, 55(5):1634-7, 2008)
• Feasibility and pragmatics of classifying working memory load with an electroencephalograph (Best Paper Honorable Mention, with D. Grimes et al., Proceedings of the 2008 Conference on Computer-Human Interaction (CHI), 835-844, 2008)
• Real-time functional brain mapping using electrocorticography (with K. Miller et al., Neuroimage, 37(2):504-507, 2007).
• Spectral changes in cortical surface potentials during motor movement (with K. Miller et al., The Journal of Neuroscience, 27(9):2424-32, 2007)
• Electrocorticography-based brain computer interface -- the Seattle experience (with Leuthardt et al., IEEE Trans Neural Syst Rehab Eng 14(2):194-8, 2006)
• Towards adaptive classification for BCI (with Shenoy et al., J Neural Eng 3(1):R13-23, 2006)
• Neural models of Bayesian belief propagation (Bayesian Brain, 2007)
• Bayesian inference and attention in the visual cortex (Neuroreport 16(16), 1843-1848, 2005)
• Hierarchical Bayesian inference in networks of spiking neurons (Advances in NIPS 17, 2005)
• Dynamic Bayesian networks for brain-computer interfaces (with P. Shenoy, Advances in NIPS 17, 2005)
• Bayesian computation in recurrent neural circuits (Neural Computation, 16(1), 1-38, 2004)
• A Bayesian model of imitation in infants and robots (with A. Shon and A. Meltzoff, Imitation and Social Learning in Robots, Humans, and Animals, Cambridge University Press, 2005)
• Probabilistic models of attention based on iconic representations and predictive coding (with Dana Ballard, Neurobiology of Attention, 2004)
• Self-organizing neural systems based on predictive learning (with Terry Sejnowski, Phil. Trans. Royal Soc. Lond. A, Vol. 361, 2003)
• Imitation learning in infants and robots (with Andy Meltzoff, Proc. of AISB'03, 2003)
• A Bilinear Model for Sparse Coding (with D. Grimes, Advances in NIPS 15, 2003)
• Learning Temporal Patterns by Redistribution of Synaptic Efficacy (with A. Shon, Neurocomputing, 2003)
• Receptive Field (invited review article) (Encyclopedia of the Human Brain, 2002)
• Models of Attention (invited review article) (Encyclopedia of Cognitive Science, 2002)
• Eye Movements in Iconic Visual Search (Vision Research 42(11), 1447-1463, 2002)
• Awakening a sleeping cat: Invited review of Information Theory and the Brain (Neural Networks, 2002)
• Spike Timing Dependent Hebbian Plasticity as Temporal Difference Learning (Neural Computation, 13(10), 2221-2237, 2001)
• News and Views by Peter Dayan (Trends in Cog. Sci., 6(3), 105-106, 2002)
• Optimal Smoothing in Visual Motion Perception (Neural Computation, 13(6), 1243-1253, 2001)
• Predictive Learning of Temporal Sequences in Neocortical Circuits (Complexity in Bio. Info. Processing, 2001)
• Reliability of Spike Timing in Cortical Neurons (J. Neurophysiology, 85(4), 1782-1787, 2001)
• Neural Circuits in Silicon [News & Views] (Nature, 405, 891-892, 2000)
• PDF file
• New York Times article
• Predictive Sequence Learning in Recurrent Neocortical Circuits (Advances in NIPS 12, 164-170, 2000)
• Learning to Maximize Rewards: Review of the book "Reinforcement Learning" (Neural Networks, 13(1), pp. 135-137, 2000)
• Predictive Coding in the Visual Cortex (Nature Neuroscience, 2(1), 79-87, 1999)
• Paper (PDF format)
• News and Views by Koch & Poggio (PDF format)
• News article in Nature
• An Optimal Estimation Approach to Visual Perception and Learning (Vision Research, 39(11), 1963-1989, 1999)
• Learning Lie Groups for Invariant Visual Perception (Advances in NIPS 11, pp. 810-816, 1999)
• What/Where Networks & Local Receptive Fields for Transformation Estimation (Network, 9(2), pp. 219-234, 1998)
• Visual Attention during Recognition (Advances in NIPS 10, pp. 80-86, 1998)
• Kalman Filter Model of the Visual Cortex (Neural Computation, 9(4), pp. 721-763, 1997)
• Deictic Codes for the Embodiment of Cognition (Behav. and Brain Sciences, 20(4), pp. 723-767, 1997)

---

Back to the Home Page of Rajesh Rao