Computational Neuroscience and Brain-Computer Interfaces
Selected Publications
Books
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)
- Nonlinear
coupling mediates communication between distant sites in human neocortex
(with F. Darvas et al., J. Neuroscience, 29(2):426-35, 2009)
- 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)
- 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)
- 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)
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Rao