| Independent EEG sources are dipolar A Delorme, J Palmer, J Onton, R Oostenveld, S Makeig PloS one 7 (2), e30135, 2012 | 869 | 2012 |
| Subset selection in noise based on diversity measure minimization BD Rao, K Engan, SF Cotter, J Palmer, K Kreutz-Delgado IEEE transactions on Signal processing 51 (3), 760-770, 2003 | 412 | 2003 |
| AMICA: An adaptive mixture of independent component analyzers with shared components JA Palmer, K Kreutz-Delgado, S Makeig Swartz Center for Computatonal Neursoscience, University of California San …, 2012 | 317 | 2012 |
| Newton method for the ICA mixture model JA Palmer, S Makeig, K Kreutz-Delgado, BD Rao 2008 IEEE International Conference on acoustics, speech and signal …, 2008 | 254 | 2008 |
| Variational EM algorithms for non-Gaussian latent variable models J Palmer, K Kreutz-Delgado, B Rao, D Wipf Advances in neural information processing systems 18, 2005 | 235 | 2005 |
| Brain computer interfaces for improving the quality of life of older adults and elderly patients AN Belkacem, N Jamil, JA Palmer, S Ouhbi, C Chen Frontiers in neuroscience 14, 692, 2020 | 126 | 2020 |
| Super-Gaussian mixture source model for ICA JA Palmer, K Kreutz-Delgado, S Makeig International Conference on Independent Component Analysis and Signal …, 2006 | 125 | 2006 |
| Genetic overlap between evoked frontocentral theta-band phase variability, reaction time variability, and attention-deficit/hyperactivity disorder symptoms in a twin study G McLoughlin, JA Palmer, F Rijsdijk, S Makeig Biological psychiatry 75 (3), 238-247, 2014 | 109 | 2014 |
| Perspectives on sparse Bayesian learning D Wipf, J Palmer, B Rao Advances in neural information processing systems 16, 2003 | 100* | 2003 |
| Modeling brain dynamic state changes with adaptive mixture independent component analysis SH Hsu, L Pion-Tonachini, J Palmer, M Miyakoshi, S Makeig, TP Jung NeuroImage 183, 47-61, 2018 | 80 | 2018 |
| Modeling and estimation of dependent subspaces with non-radially symmetric and skewed densities JA Palmer, K Kreutz-Delgado, BD Rao, S Makeig Independent Component Analysis and Signal Separation: 7th International …, 2007 | 69 | 2007 |
| Midfrontal theta activity in psychiatric illness: an index of cognitive vulnerabilities across disorders G McLoughlin, M Gyurkovics, J Palmer, S Makeig Biological psychiatry 91 (2), 173-182, 2022 | 39 | 2022 |
| Analysis of empirical Bayesian methods for neuroelectromagnetic source localization R Ramírez, J Palmer, S Makeig, B Rao, D Wipf Advances in Neural Information Processing Systems 19, 2006 | 38 | 2006 |
| Relative convexity JA Palmer ECE Dept., UCSD, Tech. Rep, 2003 | 33 | 2003 |
| Non-invasive quantification of human swallowing using a simple motion tracking system H Hashimoto, M Hirata, K Takahashi, S Kameda, Y Katsuta, F Yoshida, ... Scientific reports 8 (1), 5095, 2018 | 29 | 2018 |
| Strong sub-and super-gaussianity JA Palmer, K Kreutz-Delgado, S Makeig International Conference on Latent Variable Analysis and Signal Separation …, 2010 | 23 | 2010 |
| Variational and scale mixture representations of non-Gaussian densities for estimation in the Bayesian linear model: Sparse coding, independent component analysis, and minimum … JA Palmer University of California, San Diego, 2006 | 19 | 2006 |
| Electrocortical source imaging of intracranial EEG data in epilepsy ZA Acar, J Palmer, G Worrell, S Makeig 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 18 | 2011 |
| A general framework for component estimation JA Palmer, K Kreutz-Delgado Proceedings of the 4th International Symposium on Independent Component …, 2003 | 15 | 2003 |
| EEG source imaging indices of cognitive control show associations with dopamine system genes G McLoughlin, J Palmer, S Makeig, N Bigdely-Shamlo, T Banaschewski, ... Brain topography 31 (3), 392-406, 2018 | 13 | 2018 |
Scott MakeigDirector, Swartz Center for Computational Neuroscience, Institute for Neural Computation, UCSDVerified email at ucsd.edu
