Computational
Neuroscience and Brain-Computer Interfaces
Selected
Publications
Books
Brain-Computer Interfacing (Cambridge University Press, 2013)
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
- BCIs for scientific inquiry (Curr Opinion Neurobio, 2014)
- Learning in BCIs (PNAS, 2013)
- Probabilistic co-adaptive BCIs (J Neur Eng, 2013)
- 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)
- 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)
- 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)
