CNL Publication Search: independent components analysis

CNL Publication Index: BibTeX

This database contains all the publications of Terrence J. Sejnowski starting in 1969.

Most of these publications can be downloaded in PDF format. They are made available for individual use only; contact the publisher and the author to receive permission for reproduction in any form.

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Found 53 Articles
Found 1 Edited Book
Found 1 Invited Review
Found 22 Refereed Conference Proceedings
Found 4 Cited Technical Reports
Found 5 Book Chapters
Found 37 Abstracts
Found 1 Dissertation
Found 124 Total.

Articles

Lainscsek, C., Salami, P., Carvalho, V. R., Mendes, E.M.A.M., Fan, M., Cash, S.S., Sejnowski, T.J. Network-motif delay differential analysis of brain activity during seizures, Chaos, 33 (12), 123136, 2023 (PDF)
Lainscsek,C., Gonzalez, C. E., Sampson, A. L., Cash, S. S., Sejnowski, T. J. Causality detection in cortical seizure dynamics using cross-dynamical delay differential analysis, Chaos, 29, 101103, 2019 (PDF)
Sampson, A. L. Lainscsek, C. Gonzalez, C.E. Ulbert, I. Devinsky, O. Fabo, D. Madsen, J. R. Halgren, E. Cash S. S. Sejnowski, T. J. Delay differential analysis for dynamical sleep spindle detection, Journal of Neuroscience Methods, 316, 12-21, 2019 (PDF)
Lainscsek, C. Weyhenmeyer, J. Cash, S. S. Sejnowski, T. J. Delay Differential Analysis of Seizures in Multichannel Electrocorticography Data, Neural Computation, 29, 3181-3218, 2017 (PDF)
Roadmap Epigenomics Consortium Integrative analysis of 111 reference human epigenomes, Nature, 518, 317-330, 2015 PMCID:PMC4530010 (PDF)
Lainscsek, C. Weyhenmeyer, J. Sejnowski, T. J. Letellier, C. Discovering independent parameters in complex dynamical systems, Chaos, Solitons and Fractals, 76, 182-189, 2015 PMCID:PMC4429610 (PDF)
Lainscsek, C. Hernandez, M.E. Poizner, H. Sejnowski, T. J. Delay Differential Analysis of Electroencephalographic Data, Neural Computation, 27, 615-627, 2015 PMCID:PMC4372301 (PDF)
Lainscsek, C. Sejnowski, T. J. Delay Differential Analysis of Time Series, Neural Computation, 27, 594-614, 2015 PMCID:PMC4374491 (PDF)
Lainscsek, C. Hernandez, M. E. Weyhenmeyer, J. Sejnowski, T. J. Poizner, H. Non-linear dynamical analysis of EEG time series distinguishes patients with Parkinson's disease from healthy individuals, Frontiers in Neurology, 4, 200, 1-8, 2013 PMCID:PMC3858815 (PDF)
Saremi, S. Sejnowski, T. J. Sharpee, T. Double-Gabor filters are independent components of small translation-invariant image patches, Neural Computation, 25, 922–939, 2013 PMCID:PMC3693455 (PDF)
Coggan, J. S. Ocker, G. Sejnowski, T. J. Prescott, S. A. Explaining pathological changes in axonal excitability through dynamical analysis of conductance-based models, Journal of Neural Engineering, 8, 065002, 2011 PMCID:PMC3226740 (PDF)
Hill, E.S Moore-Kochlacs, C. Vasireddi, S. K. Sejnowski, T. J. Frost, W.N. Validation of Independent Component Analysis for rapid spike sorting of optical recording data, Journal of Neurophysiology, 104, 3721-3731, 2010 PMCID:PMC3007652 (PDF)
Hao, J. Lee, I. Lee, T.W. Sejnowski, T. J. Independent Vector Analysis for Source Separation Using a Mixture of Gaussians Prior, Neural Computation, 22 (6): 1646-1673, 2010 PMCID:PMC2878962 (PDF)
Goldbaum M.H. Falkenstein I. Kozak I. Hao J. Bartsch D.U. Sejnowski, T. J. Freeman W.R., Analysis with support vector machine shows HIV-positive subjects without infectious retinitis have mfERG deficiencies compared to normal eyes., Transactions of the American Ophthalmological Society, 106:196-205, 2008 PMCID:PMC2646437 (PDF)
Prescott, S. A. De Koninck, Y. Sejnowski, T. J. Biophysical Basis for Three Distinct Dynamical Mechanisms of Action Potential Initiation, PLOS Computational Biology, 4(10): e1000198, 2008 PMCID:PMC2551735 (PDF)
Delorme, A. Sejnowski, T. J. Makeig, S. Enhanced Detection of Artifacts in EEG Data Using Higher-Order Statistics and Independent Component Analysis, NeuroImage, 34: 1443-1449, 2007 (PDF)
Anemuller, J. Duann, J.-R. Sejnowski, T. J. Makeig, S. Spatio-Temporal Dynamics in fMRI Recordings Revealed with Complex Independent Component Analysis, Neurocomputing, 69: 1502-1512, 2006 (PDF)
Bowd, C. Medeiros, F. A. Zhang, Z. Zangwill, L. M. Hao, J. Lee, T.-W. Sejnowski, T. J. Weinberg, R. J. Goldbaum, M. H. Relevance Vector Machine and Support Vector Machine Classifier Analysis of Scanning Laser Polarimetry Retinal Nerve Fiber Layer Measurements, Investigative Ophthalmology & Visual Science, Vol. 46, No. 4, 2005 (PDF)
Sample, P. A. Boden, C. Zhang, Z. Pascual, J. Lee, T.-W. Zangwill, L. A. Weinreb, R. N. Crowston, J. G. Hoffmann, E. M. Medeiros, F. A. Sejnowski, T. J. Goldbaum, M. Unsupervised Machine Learning with Independent Component Analysis to Identify Areas of Progression in Glaucomatous Visual Fields, Investigative Ophthalmology and Visual Science, 46(10):3684-92, 2005 PMCID:PMC1832121 (PDF)
Goldbaum, M. Sample, P. A. Zhang, Z. Chan, K. Hao, J, Lee T.-W. Boden, C. Bourne, R. Zangwill, L. A. Sejnowski, T. J. Spinak, D. Weinreb, R. N. Using unsupervised learning with independent component analysis to identify patterns of glaucomatous visual field defects, Investigative Ophthalmology and Visual Science, 46(10):3676-83, 2005 PMCID:PMC1866286 (PDF)
Sample, P. A. Chan, K. Boden, C. Lee, T.-W. Blumenthal, E. Z. Weinberg, R. J. Bernd, A. Pascual, J. Hao, J. Sejnowski, T. J. Goldbaum, M. H. Using Unsupervised Learning with Variational Bayesian Mixture of Factor Analysis to Identify Patterns of Glaucomatous Visual Field Defects, Investigative Ophthalmology & Visual Science, 45(8) 2596-2605, 2004 (PDF)
Anemuller, J. Sejnowski, T. J. Makeig, S. Complex Independent Component Analysis of Frequency-Domain Electroencephalographic Data, Neural Networks, 16, 1311-1323, 2003 (PDF)
Franks, K. M. Stevens, C. F. Sejnowski, T. J. Independent Sources of Quantal Variability at Single Glutamatergic Synapses, The Journal of Neuroscience, 23(8) 3186-3195, 2003 (PDF)
Lee, T.W. Wachtler, T. Sejnowski, T. J. Color Opponency is an Efficient Representation of Spectral Properties in Natural Scenes, Vision Research, 42, 2095-2103, 2002 (PDF)
Franks, K. M. Bartol, T. M. Jr. Sejnowski, T. J. A Monte Carlo Model Reveals Independent Signaling at Central Glutamatergic Synapses, Biophysical Journal, 83, 2333-2348, 2002 (PDF)
Stewart-Bartlett, M. Movellan, J. R. Sejnowski, T. J. Face Recognition by Independent Component Analysis, IEEE Transactions on Neural Networks, 13(6) 1450-1464, 2002 (PDF)
Delorme, A. Makeig, S. Fabre-Thorpe, M. Sejnowski, T. J. From Single-Trial EEG to Brain Area Dynamics, Neurocomputing, 44-46, 1057-1064, 2002 (PDF)
Wiskott, L. Sejnowski, T. J. Slow Feature Analysis: Unsupervised Learning of Invariances, Neural Computation, 14(4) 714-770, 2002 (PDF)
Chan, K. Lee, T.-W. Sejnowski, T. J. Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components, Journal of Machine Learning Research, 3, 99-114, 2002 (PDF)
Jung, T. P. Makeig, S. Westerfield, M. Townsend, J. Courchesne, E. Sejnowski, T. J. Analysis and visualization of single-trial event-related potentials, Human Brain Mapping, 14(3) 166-185, 2001 (PDF)
Jung, T.-P. Makeig, S. McKeown, M. J. Bell, A. J. Lee, T.-W. Sejnowski, T. J. Imaging Brain Dynamics Using Independent Component Analysis, Proceedings of the IEEE, 89(7), 1107-1122, 2001 (PDF)
Coenen, O. J.-M. Arnold, M. P. Sejnowski, T. J. Jabri, M. A. Parallel Fiber Coding in the Cerebellum for Life-Long Learning, Autonomous Robots, 11, 291-297, 2001 (PDF)
Brown, G. D. Yamada, S. Sejnowski, T. J. Independent Component Analysis at the Neural Cocktail Party, Trends in Neuroscience, 24(1), 54-63, 2000 (PDF)
Lee, T.-W. Girolami, M. Bell, A. J. Sejnowski, T. J. A Unifying Information-Theoretic Framework for Independent Component Analysis, Computers and Mathematics with Applications, 39, 1-21, 2000 (PDF)
Lee, T.-W. Lewicki, M. S. Sejnowski, T. J. ICA Mixture Models for Unsupervised Classification of Non-Gaussian Classes and Automatic Context Switching in Blind Signal Separation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(10), 1078-1089, 2000 (PDF)
Jung, T.-P. Makeig, S. Westerfield, M. Townsend, J. Courchesne, E. Sejnowski, T. J. Removal of Eye Activity Artifacts from Visual Event-Related Potentials in Normal and Clinical Subjects, Clinical Neurophysiology, 111(10), 1745-58, 2000 (PDF)
Jung, T.-P. Makeig, S. Humphries, C. Lee, T.-W. McKeown, M. J. Iragui, V. Sejnowski, T. J. Removing Electroencephalographic Artifacts by Blind Source Separation, Psychophysiology, 37, 163-178, 2000 (PDF)
Lee, T.W. Lewicki, M.S. Girolami, M. Sejnowski, T. J. Blind source separation of more sources than mixtures using overcomplete representations, IEEE Signal Processing Letters, 6(4), 87-90, 1999 (PDF)
Donato, F. Stewart-Bartlett, M. Hager, J. C. Ekman, P. Sejnowski, T. J. Classifying Facial Actions, IEEE Transactions on Pattern Analysis and Machine Intelligence, 21(10), 974-989, 1999 (PDF)
Houweling, A. R. Bazhenov, M. Timofeev, I. Steriade, M. Sejnowski, T. J. Cortical and Thalamic Components of Augmenting Responses: a Modeling Study, Neurocomputing, 26-27, 735-742, 1999 (PDF)
Makeig, S. Westerfield, M. Townsend, J. Jung, T.-P. Courchesne, E. Sejnowski, T. J. Functionally Independent Components of Early Event-Related Potentials in a Visual Spatial Attention Task, Phil. Trans. R. Soc. Lond. B, 354, 1135-44, 1999 (PDF)
Makeig, S. Westerfield, M. Jung, T.-P. Covington, J. Townsend, J. Sejnowski, T. J. Courchesne, E. Functionally Independent Components of the Late Positive Event-Related Potential during Visual Spatial Attention, The Journal of Neuroscience, 19(7), 2665-2680, 1999 (PDF)
Lee, T.-W. Girolami, M. Sejnowski, T. J. Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian Sources, Neural Computation, 11(2), 417-441, 1999 (PDF)
Stewart-Bartlett, M. Hager, J. C. Ekman, P. Sejnowski, T. J. Measuring Facial Expressions by Computer Image Analysis, Psychophysiology, 36(2), 253-263, 1999 (PDF)
McKeown, M. J. Humphries, C. Iragui, V. Sejnowski, T. J. Spatially Fixed Patterns Account for the Spike and Wave Features in Absence Seizures, Brain Topography, 12(2), 107-16, 1999 (PDF)
McKeown, M. J. Makeig, S. Greg G. Brown Jung, T.-P. Kindermann, S. S. Bell, A. J. Sejnowski, T. J. Analysis of FMRI Data by Blind Separation Into Independent Spatial Components, Human Brain Mapping, 6, 1-31, 1998 (PDF)
McKeown, M. J. Sejnowski, T. J. Independent Component Analysis of FMRI Data: Examining the Assumptions, Human Brain Mapping, 6, 368-372, 1998 (PDF)
McKeown, M. J. Jung, T.-P. Makeig, S. Brown, G. D. Kindermann, S. S. Lee, T.-W. Sejnowski, T. J. Spatially Independent Activity Patterns in Functional MRI Data During the Stroop Color-Naming Task, Proceedings of the National Academy of Sciences of the United States of America, U.S.A. 95, 803-810, 1998 (PDF)
Makeig, S. Jung, T.-P. Bell, A. J. Ghahremani, D. Sejnowski, T. J. Blind Separation of Auditory Event-Related Brain Responses Into Independent Components, Proceedings of the National Academy of Sciences of the United States of America, 94, 10979-10984, 1997 (PDF)
Bell, A. J. Sejnowski, T. J. The 'Independent Components' of natural scenes are edge filters, Vision Research, 37, 3327-3338, 1997 (PDF)
Destexhe, A. Contreras, D. Steriade, M. Sejnowski, T. J. Huguenard, J. R. In Vivo, ln Vitro, and Computational Analysis of Dendritic Calcium Currents in Thalamic Reticular Neurons, The Journal of Neuroscience, 16 (1), 169-185, 1996 (PDF)
Gorman, R. P. Sejnowski, T. J. Analysis of Hidden Units in a Layered Network Trained to Classify Sonar Targets, Neural Networks, 1, 75-89, 1988 (PDF)
Hjellming, R. M. Andrews, M. H. Sejnowski, T. J. A Theoretical Analysis of Methods of Interpreting Radio-Line Data from H II Regions, The Astrophysical Journal, 157, 573, 1969 (PDF)

Edited Book

Lee, T.-W. Jung, T.-P. Makeig, S. Sejnowski, T. J. Third International Conference on Independent Component Analysis and Blind Signal Separation, San Diego, CA, 2001

Invited Review

McKeown, M. J. Hansen, L. K. Sejnowski, T. J. Independent Component Analysis of Functional MRI: What is Signal and What Is Noise?, Current Opinion in Neurobiology, 13, 620-629, 2003 (PDF)

Refereed Conference Proceedings

Lainscsek, C. Hernandez, M. E. Poizner, H. Sejnowski, T. J. Multivariate spectral analysis of electroencephalography data, Internaitonal IEEE/EMBS Conference on Neural Engineering, 1151-1154, 2013 (PDF)
Anemuller, J. Sejnowski, T. J. Makeig, S. Reliable Measurement of Cortical Flow Patterns Using Complex Independent Component Analysis of Electroencephalographic Signals, Lecture Notes in Computer Science, 3195, 1009-1016, 2004 (PDF)
Coenen, O. J.-M.D. Arnold, M. P. Sejnowski, T. J. Jabri, M. A. Bayesian Analysis for Parallel Fiber Coding in the Cerebellum, Proceedings of the 7th International Conference on Neural Information Processing (ICONIP-2000), KAIST, Korea, 2001
Jung, T.-P. Makeig, S. Lee, T.-W. McKeown, M. J. Brown, G. D. Bell, A. J. Sejnowski, T. J. Independent Component Analysis of Biomedical Signals, Proceedings of the 2nd International Workshop on Independent Component Analysis and Blind Signal Separation, 2000, June 19-22, Helsinki, Finland 633-644, 2000 (PDF)
Park, K.-Y. Jabri, M. A. Lee, S.-Y. Sejnowski, T. J. Independent Components of Optical Flows Have MSTd-Like Receptive Fields, Proceedings of the 2nd International Workshop on ICA and Blind Signal Separation, Helsinki, Finland 597-601, 2000 (PDF)
Jabri, M. A. Park, K-Y. Lee, S-Y. Sejnowski, T. J. Properties of Independent Components of Self-Motion Optical Flow, IEEE, 2000 (PDF)
Jung, T.-P. Makeig, S. Westerfield, M. Townsend, J. Courchesne, E. Sejnowski, T. J. Independent Component Analysis of Single-Trial Event-Related Potentials, International Workshop on Independent Component Analysis and Blind Signal Separation, January 11-15, Aussois, France, 173-178, 1999 (PDF)
Stewart-Bartlett, M. Donato, G. Movellan, J. R. Hager, J. C. Ekman, P. Sejnowski, T. J. Face Image Analysis for Expression Measurement and Detection of Deceit, Proceedings of the 6th Joint Symposium on Neural Computation, California Institute of Technology, Pasadena, CA 8-15, 1999 (PDF)
Kreutz-Delgado, K. Rao, B. D. Engan, K. Lee, T.-W. Sejnowski, T. J. Learning Overcomplete Dictionaries: Convex/Schur-Convex (SCS) Log-Priors, Factorial Codes, and Independent/ Dependent Component Analysis (I/DCA), Proceedings of the 6th Joint Symposium on Neural Computation, California Institute of Technology, Pasadena, CA, 72-78, 1999
Brown, G. D. Yamada, S. Lübben, H. Sejnowski, T. J. Independent Component Analysis of Optical Recordings from the Seaslug Tritonia, Proceedings of the 5th Joint Symposium on Neural Computation, University of California, San Diego, Institute for Neural Comput, 1998 (PDF)
Bartlett, M. S. Lades, H. M. Sejnowski, T. J. Independent Component Representations for Face Recognition, Proceedings of the SPIE Symposium on Electronic Imaging: Science and Technology; Conference on Human Vision and Electronic Imaging, III, San Jose, California; 3299: 528-539, 1998 (PDF)
Murthy, V. Sejnowski, T. J. Stevens, C. F. Are Neighboring Synapses Independent?, Proceedings of the 4th Joint Symposium on Neural Computation, University of California 6, San Diego and University of Southern, 1997 (PDF)
Bell, A. J. Sejnowski, T. J. Edges Are the Independent Components of Natural Scenes Mozer, M. Jordan, M. I. Petsche, T. (Ed.), Advances in Neural Information Processing Systems, 9, MIT Press, Cambridge, MA, 831-837, 1997 (PDF)
Lee, T.-W. Sejnowski, T. J. Independent Component Analysis for Mixed Sub-Gaussian and Super-Gaussian Sources, Proceedings of the 4th Joint Symposium on Neural Computation, University of California, San Diego and University of Southern California 6, Institute for Neural Computation, La Jolla, CA, 132-139, 1997 (PDF)
Stewart-Bartlett, M. Sejnowski, T. J. Independent Components of Face Images: A Representation for Face Recognition, Proceedings of the 4th Joint Symposium on Neural Computation, University of California, San Diego and University of Southern California 6, Institute for Neural Computation, La Jolla, CA, 3-10, 1997 (PDF)
Stewart-Bartlett, M. Sejnowski, T. J. Viewpoint Invariant Face Recognition Using Independent Component Analysis and Attractor Networks Mozer, M. Jordan, M. I. Petshce, T. (Ed.), Advances in Neural Information Processing Systems, 9, MIT Press, Cambridge, MA., 817-823, 1997 (PDF)
Makeig, S. Bell, A. J. Jung, T.-P. Sejnowski, T. J. Independent Component Analysis of Electroencephalographic Data Touretzky, D. S. Mozer, M. Hasselmo, M. (Ed.), Advances in Neural Information Processing Systems, 8, MIT Press, Cambridge, MA. 145-151, 1996 (PDF)
Bell, A. J. Sejnowski, T. J. Empirical Entropy Manipulation and Analysis, Proceedings 1995 International Symposium on Non-linear Theory and Applications, Las Vegas, NV, 1:43-47, 1995 (PDF)
Zemel, R. S. Sejnowski, T. J. Grouping Components of Three-Dimensional Moving Objects in Area MST of Visual Cortex Tesauro, G. Touretzky, D. S. Leen, T. (Ed.), Advances in Neural Information Processing Systems, 7, MIT Press, Cambridge, MA, 165-172, 1995 (PDF)
Prank, K. Kloppstech, M. Nowlan, S. J. Harms, H. M. Brabant, G. Hesch, R. D. Sejnowski, T. J. Nonlinear Analysis and Prediction of Pulsatile Hormone Secretion Katz, R. A. (Ed.), Chaotic, Fractal, and Nonlinear Signal Processing, American Institute of Physics, Woodbury, New York, 375, 628-643, 1995 (PDF)
Venturini, R. Lytton, W. W. Sejnowski, T. J. Neural Network Analysis of Event Related Potentials and Electroencephalogram Predicts Vigilance Moody, J. E. Hanson, S. J. Lippmann, R. P. (Ed.), Advances in Neural Information Processing Systems, 4, San Mateo, CA: Morgan Kaufmann Publishers, 651-658, 1992 (PDF)
Lockery, S. R. Fang, Y. Sejnowski, T. J. Neural Network Analysis of Distributed Representations of Dynamical Sensory-Motor Transformations in the Leech Touretzky, D. S. (Ed.), Advances in Neural Information Processing Systems, 2, San Mateo, CA: Morgan Kaufmann Publishers, 28-35, 1990 (PDF)

Cited Technical Reports

Brown, G.D., Yamada, S. Nakashima, M. Moore-Kochlacs, C, Sejnowski, T. J. Independent Component Analysis of Optical Recordings from Tritonia Swimming Neurons, Institute for Neural Computation, University of California at San Diego Technical Report, INC-08-001, 2008 (PDF)
Ghahremani, D. Makeig, S. Jung, T.-P. Bell, A. J. Sejnowski, T. J. Independent Component Analysis of Simulated EEG Using a Three-Shell Spherical Head Model, Institute for Neural Computation Technical Report Series, INC-9601, 1996 (PDF)
Makeig, S. Jung, T.-P. Ghahremani, D. Sejnowski, T. J. Independent Component Analysis of Simulated ERP Data, Institute for Neural Computation Technical Report Series, INC-9606, 1996 (PDF)
Lisberger, S. G. Sejnowski, T. J. Computational Analysis Suggests a New Hypothesis for Motor Learning in the Vestibulo-Ocular Reflex, Institute for Neural Computation Technical Report Series, INC-9201, 1992 (PDF)

Book Chapters

Sejnowski, T. J. The Computational Self, In: The Self: From Soul to Brain, Annals of the New York Academy of Sciences, 2003 (PDF)
Bell, A. J. Sejnowski, T. J. Learning to Find Independent Components in Natural Scenes Fahle, M. Poggio, T. (Ed.), In: Perceptual Learning, MIT Press, Cambridge, MA, 355-36, 2002 (PDF)
Makeig, S. Jung, T.-P. Ghahremani, D. Sejnowski, T. J. Independent Component Analysis of Simulated ERP Data Nakada, T. (Ed.), In: Human Higher Function I: Advanced Methodologies, 2001
Lee, T-W. Wachtler, T. Sejnowski, T. J. The Spectral Independent Components of Natural Scenes Lee, S.-W. Buelthoff, H.H. Poggio, T. (Ed.), In: Biologically Motivated Computer Vision, 527–534, 2000 (PDF)
Jung, T.-P. Makeig, S. Bell, A. J. Sejnowski, T. J. Independent Component Analysis of Electroencephalographic and Event-Related Potential Data Poon, P. Brugge, J. (Ed.), In: Auditory Processing and Neural Modeling, Plenum Press, 189-197, 1998 (PDF)

Abstracts

Bell, M. Bartol, T. M. Jr. Sejnowski, T. J. Rangamani, P. Spatiotemporal analysis of calcium transients in dendritic spines, Society for Neuroscience Abstracts, 2018
UM, K. Khan, A. Hariharan, M. Lucero, J. Sejnowski, T. J. Ecker, J. R. Powell, S. B. Behrens, M. Comprehensive gene expression analysis of prefrontal cortex and hippocampus in social isolation rearing mouse model, Society for Neuroscience 2015, 2015 (PDF)
Hernandez, M.E. Weyhenmeyer, J. Lainscsek, C. Sejnowski, T. J. Poizner, H. Delay differential analysis: a framework for multimodal non-linear classification of Parkinson's disease, Society for Neuroscience 2015, 2015 (PDF)
Weyhenmeyer, J. Lainscsek, C. Cash, S. S. Sejnowski, T. J. Delay differential analysis: a framework for the analysis of large-scale epileptic electrocorticography recordings, Society for Neuroscience, 2015 (PDF)
LIN, W. Lainscsek, C. Krishnan, G. P. Bazhenov, M. Mednicks, S. Sejnowski, T. J. Nonlinear dynamical features for improving computational sleep models using Delay Differential Analysis, Society for Neuroscience, 2015 (PDF)
Sampson, A.L. C. Lainscsek, C. Cash, S. S. E. Halgren, E. Sejnowski, T. J. Nonlinear dynamical sleep spindle detection using delay differential analysis, Society for Neuroscience, 2015 (PDF)
Hernandez, M. E. Weyhenmeyer, J. Lainscsek, C. Sejnowski, T. J. Poizner, H. Delay differential analysis of EEG during reaching to grasp virtual objects, Society for Neuroscience Abstracts, 2014 (PDF)
Lainscsek, C. Hernandez, M.E. Weyhenmeyer, J. Sejnowski, T. J. Poizner, H. Non-linear Dynamical Analysis of EEG Time Series Distinguishes Patients with Parkinson's Disease From Healthy Individuals, Society for Neuroscience Abstracts, 2013 (PDF)
Coggan, J. S. Ocker, G. Prescott, S. A. Sejnowski, T. J. Complex Symptoms of Demyelination and Nerve Damage Explained by Nonlinear Dynamical Analysis of Conductance-based Models, Computational Neuroscience (CNS), 2011 (PDF)
Saremi, S. Albright, T.D. Sejnowski, T. J. Sharpee, T Translation-invariant independent component analysis of natural images yields "double" Gabor filters, Society for Neuroscience Abstracts, 2010 (PDF)
Coggan, J.S. Prescott, S.A. Bartol, T.M. Sejnowski, T. J. Dynamical analysis of multi-phase axonal intrinsic excitability, HHMI, Chevy Chase, 2010 (PDF)
Hasenstaub, A. Sejnowski, T. J. Callaway, E. Gene expression analysis and metabolic optimization in cortical fast-spiking interneurons, Frontiers in Systems Neuroscience, Computational and Systems Neuroscience Conference, 2009 (PDF)
Frost, W.N. Moore-Kochlacs, C. Hill, E.S. Wang, J. Sejnowski, T. J. Simultaneous Intracellular and Optical Recordings Confirm Blind Separation of Single Neurons by Independent Component Analysis, Society of Neuroscience Abstracts, 2008 (PDF)
Bowd, C. Medeiros, F. A. Zangwill, L. M. Zhang, Z. Hao, J. Chan, K. Lee, T.–W. Goldbaum, M. H. Sejnowski, T. J. Weinreb, R. N. Support Vector Machine Analysis of VCC Scanning Laser Polarimetry RNFL Thickness Measurements, Invest. Ophthalmol. Vis. Sci., 45: 3405, 2004 (PDF)
Sample, P. A. Zhang, Z. Pascual, J. Chan, K. Boden, C. Hao, J. Lee, T.–W. Weinreb, R. N. Sejnowski, T. J. Goldbaum, M Unsupervised Machine Learning with Independent Component Analysis Identifies Areas of Progression in Glaucomatous Visual Fields, Investigative Ophthalmology and Visual Science, 45: 3471, 2004 (PDF)
Makeig, S. Sejnowski, T. J. Anemuller, J. Noninvasive Imaging of Independent Cortical Flow Patterns, Society for Neuroscience Abstracts, 29, 2003 (PDF)
Goldbaum, M. H. Sample, P. A. Chan, K. Lee, T.-W. McGuire, D. Sejnowski, T. J. Weinreb, R. N. Analysis of Glaucomatous Visual Field Patterns Found with Unsupervised Learning Using Independent Component Analysis and Principal Component Analysis, The Association for Research in Vision and Ophthalmology Abstracts, 43:S2178, 2002 (PDF)
Bazhenov, M. Jung, T.-P. Timofeev, I. Steriade, M. Sejnowski, T. J. Foci of Trauma-Induced Seizures Localized by Independent Component Analysis, Society for Neuroscience Abstracts, 28, 2002 (PDF)
Seigel, R. M. Duann, J.-R. Jung, T.-P. Sejnowski, T. J. Independent Component Analysis of Intrinsic Optical Signals for Gain Fields in Inferior Parietal Cortex of Behaving Monkey, Society for Neuroscience Abstracts, 28, 2002 (PDF)
Westerfield, M. Townsend, J. Covington, J. Makeig, S. Sejnowski, T. J. Courchesne, E. Independent Components of the Late Positive Event-Related Potential in a Visual Spatial Attention Task: Normal and Clinical Subject Differences, Society for Neuroscience Abstracts, 24, 646, 2002 (PDF)
Franks, K. M. Stevens, C. F. Sejnowski, T. J. Independent Sources of Quantal Variability At a Central Glutamatergic Synapse, Society for Neuroscience Abstracts, 28, 2002 (PDF)
Sample, P. A. Goldbaum, M. H. Chan, K. Boden, C. Lee, T.-W. Boehm, A. Vasile, C. Sejnowski, T. J. Johnson, C. A. Weinreb,R. N Predicting Development of Abnormal Standard Visual Fields in Ocular Hypertensive Eyes: Machine Learning Classifiers and Statpac-Like Analysis, The Association for Research in Vision and Ophthalmology Abstracts, 43:S1939, 2002 (PDF)
Delorme, A. Makeig, S. T.Z. Jung Sejnowski, T. J. Automatic rejection of event-related potential trials and components using independent component analysis, Society for Neuroscience Abstracts, 27, 2001 (PDF)
Doi, E. Lee, T.-W. Wachtler, T. Inui Sejnowski, T. J. Spatial and Chromatic Filters Derived from an Information-Theoretic Analysis of Natural Scenes, Society for Neuroscience Abstracts, 27, 2001 (PDF)
Bartol, T. M. Jr. Sejnowski, T. J. Land, B. R. Salpeter, E. E. Salpeter, M. M. A Sensitivity Analysis of Chemical Kinetics Parameters for the Neuromuscular Junction, Society for Neuroscience Abstracts, 26, 1123, 2000 (PDF)
Makeig, S. Enghoff, S. Visser, E. Jung, T.-P. Sejnowski, T. J. Dynamics of Event-Related Coherence Between Independent Components of the Human EEG, Society for Neuroscience Abstracts, 26, 1316, 2000 (PDF)
Westerfield, M. Makeig, S. Townsend, J. Jung, T.-P. Sejnowski, T. J. Functionally Independent Components of Early Visual Event-Related Potentials, Society for Neuroscience Abstracts, 25, 1631, 1999 (PDF)
Jung, T.-P. Makeig, S. Sejnowski, T. J. Identifying and Visualizing Independent Components in Artifact-Free Single-Trial Event-Related Potentials, Society for Neuroscience Abstracts, 24, 168, 1998 (PDF)
Makeig, S. Jung, T.-P. Sejnowski, T. J. Multiple Coherent Oscillatory Components of the Human Electroencephalogram (EEG) Differentially Modulated by Cognitive Events, Society for Neuroscience Abstracts, 24, 507, 1998 (PDF)
Humphries, C. McKeown, M. J. Achermann, P. Borbely, A. A. Sejnowski, T. J. Spatial Distribution of Temporally Independent Components of Sleep Spindles In Electroencephalographic (EEG) Potentials, Society for Neuroscience Abstracts, 24, 1695, 1998 (PDF)
Brown, G. D. Yamada, S. Luebben, H. Sejnowski, T. J. Spike Sorting and Artifact Rejection by Independent Component Analysis of Optical Recordings from Tritonia, Society for Neuroscience Abstracts, 24, 1670, 1998 (PDF)
McKeown, M. J. Makeig, S. Brown, G. D. Jung, T.-P. Kindermann, S. S. Bell, A. J. Sejnowski, T. J. Analysis of fMRIData by Decomposition Into Independent Components, Neurology, 48, A417, 1997 (PDF)
Makeig, S. Anllo-Vento, L. Jung, T.-P. Bell, A. J. Sejnowski, T. J. Hillyard, S. A. Independent Component Analysis (ICA) of Event-Related Potentials During Selective Attention, Society for Neuroscience Abstracts, 22, 1698, 1996 (PDF)
Sejnowski, T. J. Destexhe, A. Contreras, D. Steriade, M. Huguenard, J. R. In Vivo, in Vitro and Computational Analysis of Dendritic Currents in Thalamic Reticular Neurons, Society for Neuroscience Abstracts, 21, 1187, 1995 (PDF)
Stewart-Bartlett, M. Makeig, S. Bell, A. J. Jung, T.-P. Sejnowski, T. J. Independent Component Analysis of EEG Data, Society for Neuroscience Abstracts, 21, 437, 1995 (PDF)
Prank, K. Nowlan, S. Sejnowski, T. J. Hesch, R. D. Brabant, G. Self-Organized Pulse Detection (SOPUL) - A New Approach for the Analysis of Episodic Hormone Secretion Based on Neural Networks, Exp. Clin. Endocrinol, 101:67 (Supplement 1), 1995
Bush, P. C. Li, S. Sejnowski, T. J. Quantal Analysis of Superimposed Excitatory Postsynaptic Potentials from Multiple Synapses, Society for Neuroscience Abstracts, 17, 385, 1991 (PDF)

Dissertation

Stewart-Bartlett, M. Face Image Analysis by Unsupervised Learning and Redundancy Reduction, 1998