In the News

The study on audiovisual speech recognition was featured in

• "Blinded by the lyric? Study reveals why we get the words wrong", MSNBC web site, Health Section (March 27, 2009)
• Talking in person better, American Morning, CNN (March 4, 2009)

• Documentary: The Brain, History Channel (November 10, 2008)
• "Tapping the Computing Power of the Unconscious Brain" IEEE Spectrum Video (August 2008)
• "A Brainy Approach to Image Sorting", IEEE Spectrum (April 2008).
• "When the brain is a component of the computer", Politiken (Danish newspaper, July 2007).
• "Brain-Computer Interfaces: Where Human and Machine Meet", IEEE Computer Magazine (January 2007)
• "Subliminal Search", MIT Technology Review (July 2006)
• "Man and machine vision in perfect harmony", New Scientist, (July 2006)
• "This Is a Computer on Your Brain", Wired News (July 2006)
  

Journal Papers

1. Xiang Zhou, Simon Henin, Suzanne Thompson, Glenis Long, Lucas C. Parra, "Sensitization to masked tones following notched-noise priming correlates with estimates of cochlear function using distortion product otoacoustic emissions", Journal of the Acoustical Society of America, accepted. Nov 2009
2. Paul Sajda, Lucas C. Parra, Christoforos Christoforou, Barbara Hanna, Claus Bahlmann, Jun Wang, Eric Pohlmeyer, Jacek Dmochowski, Shih-Fu Chang, "In a blink of an eye and a switch of a transistor: Cortically-coupled computer vision", Proceedings of the IEEE, accepted. Nov 2009
3. Christoforos Christofou, Robert Haralik, Paul Sajda, Lucas C. Parra, "Second Order Bilinear Discriminant Analysis, Journal of Machine Learning, accepted. Nov 2009
4. Paul Sajda, Marios G. Philiastides, Lucas C. Parra, "Single-trial Analysis of Neuroimaging Data: Inferring Neural Networks Underlying Perceptual, Decision Making in the Human," IEEE Reviews In Biomedical Engineering, vol. 2, pp. 97-109, 2009.
5. Kristen K. Maul, Henning U. Voss, Lucas C. Parra, Delanthi Salgado-Commissariat, Douglas Ballon, Ofer Tchernichovski, Santosh A. Helekar, "The development of stimulus-specific auditory responses requires song exposure in male but not female zebra finches," Developmental Neurobiology, 10(1): 28-40. journal cover
6. Lucas C. Parra, Jeffrey M. Beck, Anthony J. Bell, "On the maximization of information flow between spiking neurons," Neural Computations, vol. 21, no. 11, pp. 2991-3009, November, 2009.
7. Wei Ji Ma, Xiang Zhou, Lars A. Ross, John J. Foxe, Lucas C. Parra, "Lip-reading aids word recognition most in moderate noise: a Bayesian explanation using high-dimensional feature space," PLoS ONE, 4 (3) e4639, March 4, 2009. ( supplementary material, sample stimuli, press release)
8. Yuzhuo Su, Thomas Radman, Jake Vaynshteyn, Lucas C. Parra, Marom Bikson, "Effects of high-frequency stimulation on epileptiform activity in vitro: ON/OFF control paradigm," Epilepsia, vol. 49, no. 9, pp. 1586 - 1593, April 2008.
9. Yuzhuo Su, Sunitha Thakur, Karimi Sasan, Shuyan Du, Paul Sajda, Wei Huang, Lucas C. Parra, "Spectrum Separation Resolves Partial Volume Effect of MRSI as Demonstrated on Brain Tumor," NMR in Biomedicine, Vol. 21, No. 1, pp. 1030-1042, November 2008.
10. Lucas C. Parra, Christoforos Christoforou, Adam D. Gerson, Mads Dyrholm, An Luo, Mark Wagner, Marios G. Philiastides, Paul Sajda, "Spatio-temporal linear decoding of brain state: Application to performance augmentation in high-throughput tasks", IEEE Signal Processing Magazine, vol. 25, no. 1, pp. 95-115, January 2008.
11. Thomas Radman, Yuzhuo Su, Je Hi An, Lucas C. Parra, Marom Bikson, "Spike timing amplifies the effect of electric fields on neurons: implications for endogenous field-effects", Journal of Neuroscience, vol. 27, no. 11, pp. 3030-3036, March 2007.
12. Mads Dyrholm, Christoforos Christoforou, Lucas C. Parra, "Bilinear Discriminant Component Analysis", Journal of Machine Learning Research, vol. 8, pp. 1097-1111, 2007. Download matlab code and tutorial.
13. Lucas C. Parra, Barak A. Pearlmutter, "Illusory percepts from auditory adaptation", Journal of the Acoustical Society of America, vol. 121, no. 3, pp. 1632-1641, 2007.
    Download examples and matlab code.
14. Adam D. Gerson, Lucas C. Parra, Paul Sajda, "Cortically-coupled Computer Vision for Rapid Image Search", IEEE Transactions on Neural Systems & Rehabilitation Engineering, vol. 14, no. 2, pp. 174-179, June 2006.
    
15. Lucas C. Parra, "Steerable Frequency-Invariant Beamforming for Arbitrary Arrays", Journal of the Acoustical Society of America, 119 (6), pp. 3839-3847, June 2006.
    Download matlab code.
16. Clay D. Spence, Lucas C. Parra, Paul Sajda, "Varying Complexity in Tree-Structured Image Distribution Models", IEEE Transactions on Image Processing, vol. 5, no. 2, pp. 319-330, February 2006
17. Lucas C. Parra, Clay D. Spence, Adam D. Gerson, Paul Sajda, "Recipes for the Linear Analysis of EEG", Neuroimage, vol. 28, no. 2, pp. 326-341, November 2005.
    Download matlab code here.
18. Adam D. Gerson, Lucas C. Parra, Paul Sajda, "Cortical Origins of Response Time Variability During Rapid Discrimination of Visual Objects", Neuroimage, vol. 28, no. 2, pp. 342-353, November 2005.
    Download matlab code here.
19. Paul Sajda, Shuyan Du, Truman R. Brown, Radka Stoyanova, Dikoma C. Shungu, Xiangling Mao, Lucas C. Parra, "Nonnegative Matrix Factorization for Rapid Recovery of Constituent Spectra in Magnetic Resonance Chemical Shift Imaging of the Brain", IEEE Transaction on Medical Imaging, vol. 23, no. 12, December 2004
20. Lucas Parra, Chris Alvino, Akaysha Tang, Barak Pearlmutter, Nick Yeung, Allen Osman, Paul Sajda, ``Single-Trial Detection in EEG and MEG: Keeping it Linear'', Neurocomputing, vol. 52-54, June 2003, pp. 177-183, 2003.
21. Lucas Parra, Clay Spence, Adam Gerson and Paul Sajda, "Response Error Correction - A Demonstration of Improved Human-Machine Performance Using Real-Time EEG Monitoring", IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 11, no. 2, pp. 173 -177, June 2003.
22. Paul Sajda, Adam Gerson, Klaus-Robert Muller, Benjamin Blankertz, Lucas Parra, "A data analysis competition to evaluate machine learning algorithms for use in brain-computer interfaces", IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 11, no. 2, pp. 184-185, June 2003.
23. Paul Sajda, Clay Spence, Lucas Parra, "A multi-scale probabilistic network model for detection, synthesis and compression in mammographic image analysis", Medical Image Analysis, vol. 7, no. 2 , June 2003, pp. 187-204, 2003.
24. Lucas Parra, Paul Sajda, "Blind Source Separation via Generalized Eigenvalue Decomposition", Journal of Machine Learning Research, vol. 4, pp. 1261-1269, 2003.
    See also Quickie Blind Source Separation.
25. Lucas Parra, Christopher Alvino, ``Geometric Source Separation: Merging convolutive source separation with geometric beamforming'', IEEE Transaction on Speech and Audio Processing, vol. 10, no. 6, pp. 352-362, Sept. 2002
26. Lucas Parra, Chris Alvino, Akaysha Tang, Barak Pearlmutter, Nick Yeung, Allen Osman, Paul Sajda, ``Linear Spatial Integration for Single-Trial Detection in Encephalography'', NeuroImage, vol. 17, no. 1, pp. 223-230, 2002
27. Lucas Parra, Clay Spence, "Convolutive blind source separation of non-stationary sources", IEEE Trans. on Speech and Audio Processing pp. 320-327, May 2000. US Patent US6167417.
    Listen to audio demonstrations.
    Download matlab code by Stefan Hamerling.
    Try your own BSS algorithm on real-room recordings.
28. Lucas Parra, "Reconstruction of cone-beam projections from Compton scattered data", IEEE Transactions on Nuclear Science, vol. 47., no. 4, part II, pp. 1543 -1550, August 2000.
29. Lucas Parra, Clay Spence, "On-line convolutive source separation of non-stationary signals", Journal of VLSI Signal Processing, vol. 26, no. 1/2, pp. 39-46, August 2000.
30. Lucas Parra, Harrison Barrett, "List-Mode Likelihood: EM Algorithm and Image Quality Estimation Demonstrated on 2-D PET", IEEE Transaction in Medical Imaging, Vol. 17, No. 2, pp. 228-235, April 1998.
31. Harrison Barrett, Timothy White, Lucas Parra, "List-Mode Likelihood", J. Opt. Soc. Am., 1997, 14 (11), pp. 2914-2923
32. Deco G., Parra L.: "Nonlinear Features Extraction by Unsupervised Redundancy Reduction with Stochastic Neural Networks", Neural Networks, 10, 683-691, 1997.
33. Parra L., Deco G., Miesbach S.: "Statistical independence and Novelty Detection with Information Preserving Nonlinear Maps", Neural Computation, 1996, Vol 8, 260-269.
34. Parra L., Deco G., Miesbach S.: "Redundancy Reduction with Information Preserving Nonlinear Maps", Network 1995, Vol. 1, No. 1, 61-72
35. Parra L., Deco G.: "Continuous Boltzmann Machine with Rotor Neurons", Neural Networks 1995, Vol. 8, No 3, 375-385
36. Deco G., Parra L.: "Unsupervised Learning for Boltzmann Machines", Network 1995, Vol. 6, 437-448.

Book Chapters

1. L. Albera, P. Comon, L.C. Parra, A. Karfoul, A. Kachenoura, L. Senhadji, "ICA and biomedical applications", Handbook of Blind Source Separation, Independent Component Analysis and Applications P. Comon and C. Jutten Eds, Academic Press 2010.
2. Michael S. Pedersen, Jan Larsen, Ulrik Kjems, Lucas C. Parra, "A survey of Convolutive Blind Source Separation Methods", to appear as chapter in Multichannel Speech Processing Handbook, Eds. Jacob Benesty and Arden Huang, Springer 2007.
3. Adam Gerson, Lucas Parra, Paul Sajda, "Single-trial analysis of EEG for Enabling Cognitive User Interfaces",IEEE Neural-Engineering Handbook, Wiley/IEEE, 2006
4. Paul Sajda, Adam D. Gerson, Marios G. Philiastides and Lucas C. Parra, ''Single-trial analysis of EEG during rapid visual discrimination: Enabling cortically-coupled computer vision'', book chapter in Brain-Computer Interface, Ed. Guido Dornhege, Klaus-Rober Mueller, MIT press, Spring 2007
5. Lucas Parra, Craig Fancourt, "An Adaptive Beamforming Perspective on Convolutive Blind Source Separation", book chapter in "Noise Reduction in Speech Applications", Ed. Gillian Davis, CRC Press LLC, 2002.
6. Lucas Parra, Clay Spence, "Separation of non-stationary natural signals", book chapter in "Independent Components Analysis, Principles and Practice", Eds. Stephen Roberts, Richard Everson, Canbridge University Press, pp. 135-157, 2001.
7. Lucas Parra, "Temporal Models in Blind Source Separation", chapter in "Adaptive Processing of Sequences and Data Structures" - International Summer School on Neural Networks, "E.R. Caianiello", Vietri sul Mare, Salerno, Italy,September 6-13, 1997, Tutorial Lectures. Edited by Lee Giles and Marco Gori. Part of the series "Lecture Notes in Computer Science", Springer, pp. 229-247, 1998

Peer-Reviewed Conference Proceedings

1. Jonathan Le Roux, Alain de Cheveigne, Lucas C. Parra, "Adaptive Template Matching with Shift-Invariant Semi-NMF", Advances in Neural Information Processing Systems 21, 2009. (poster )
2. Christoforos Christoforou, Paul Sajda, Lucas C. Parra, "Second Order Bilinear Discriminant Analysis for single trial EEG", Advances in Neural Information Processing Systems 20, Eds. J.C. Platt and D. Koller and Y. Singer and S. Roweis, pp. 313-320, MIT Press, 2008.
3. Mads Dyrholm, Lucas C. Parra, "Smooth bilinear classification of EEG", 28th Anual International Conference of the IEEE Engineering in Medicine and Biology Society, New York, August 2006.
4. Thomas Radman, Lucas C. Parra, Marom Bikson, "Amplification of small electric fields by neurons; implications for spike timing", 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, New York, August 2006.
5. Lucas C. Parra, "Least squares frequency invariant beamforming", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, Mohonk, October 2005, pp. 102-105
6. Anthony J. Bell, Lucas C. Parra: "Maximising Sensitivity in a Spiking Network", Advances in Neural Information Processing Systems 17, Lawrence K. Saul and Yair Weiss and Leon Bottou, MIT Press, Cambridge, MA. 2005
7. Lucas Parra, Marom Bikson, "Model of the effect of extracellular fields on spike time coherence", 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol 2(6), pp. 4584 - 4587, September 2004,
8. Paul Sajda, Shuyan Du, Truman Brown, Lucas Parra, Radka Stoyanova, "Recovery of Constituent Spectra in 3D Chemical Shift Imaging using Non-negative Matrix Factorization", International Conference on Independent Component Analysis, Nara, Japan, April, 2003. pp. 71-76
9. Lucas Parra, Paul Sajda, "Converging Evidence of Linear Independent Components in EEG", First International IEEE EMBS Conference on Neural Engineering, 20-22 March 2003, Conference Proceedings pp. 525-528, 2003.
10. Paul Sajda, Adam Gerson, Lucas Parra, "High-throughput Image Search via Single-trial Event Detection in a Rapid Serial Visual Presentation Task", First International IEEE EMBS Conference on Neural Engineering 20-22 March 2003, Conference Proceedings. pp. 7-10, 2003
11. Craig Fancourt, Lucas Parra, "A comparison of decorrelation criteria for the blind source separation of non-stationary signals", IEEE Sensor Array and Multichannel Signal Processing Workshop, Rosslyn, VA, pp. 165-168, August 2002.
12. Paul Sajda, Clay Spence, Lucas Parra "Capturing Contextual Dependencies In Medical Imagery Using Hierarchical Multi-Scale Models", IEEE International Symposium on Biomedical Imaging, Washington, pp. 165-168, 7-10 July 2002.
13. Lucas Parra, Christopher Alvino, "Geometric Source Separation: Merging convolutive source separation with geometric beamforming", IEEE International Workshop on Neural Networks and Signal Processing 2001. pp. 273-282
14. Craig Fancourt, Lucas Parra, "The coherence function in blind source separation of convolutive mixtures of non-stationary signals", IEEE International Workshop on Neural Networks and Signal Processing 2001.
15. Craig Fancourt, Lucas Parra, "The Generalized Sidelobe Decorrelator", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, pp. 167-170, 21-24 Oct. 2001.
16. Lucas Parra, Uday Jain, "Approximate Kalman filtering for the harmonic plus noise model", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, pp. 75-78, 2001.
17. Clay Spence, Lucas Parra, Paul Sajda, "Detection, Synthesis and Compression in Mammographic Image Analysis with a Hierarchical Image Probability Model", IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, pp. 3-10, December, 2001.
18. Clay Spence, Lucas Parra, "Hierarchical Image Probability (HIP) Models", Advances in Neural Information Processing Systems 12, MIT Press, pp. 848-854, 2000.
19. Lucas Parra, Klaus-Robert Mueller, Clay Spence, Andreas Ziehe, Paul Sajda, "Unmixing Hyperspectral Data", Advances in Neural Information Processing Systems 12, MIT Press, pp. 942-948, 2000. .ps.gz,
20. Spence, C.D., L. Parra and P. Sajda, "Mammographic mass detection with a hierarchical image probability (HIP) model," in Medical Imaging 2000, Kenneth M. Hanson, Editor, Proceedings of SPIE Vol. 3979, pp. 990-997 (2000). .ps.gz,
21. Spence, C.D., L. Parra and P. Sajda, "Hierarchical image probability (HIP) models," Proceedings of International Conference on Image Processing, September 2000, IEEE (2000). .ps.gz,
22. Lucas Parra, Clay Spence and Paul Sajda, "Higher-order Statistical Properties Arising from the Non-stationarity of Natural Signals," Advances in Neural Information Processing Systems 13, pp 786-792. 2001. .ps.gz,
23. Lucas Parra, "Reconstruction of cone-beam projections from Compton scattered data", Nuclear Science Symposium, 1999. Conference Record. 1999 IEEE Volume: 2 , Page(s): 1082 -1086 vol.2 .ps.gz,
24. Lucas Parra, Clay Spence, "Convolutive Blind Source Separation based on Multiple Decorrelation", presented at "Machines that Learn" Workshop, Snowbird, 1998, .ps.gz, , and IEEE Neural Networks and Signal Processing Workshop, Cambridge, UK, September 1998 .ps.gz, .
25. Barak Pearlmutter, Lucas Parra: "Maximum Likelihood Blind Source Separation: A context-sensitive generalization of ICA", Advances in Neural Information Processing Systems 9, MIT Press, pp. 613-619, 1997 .ps.gz,
26. Barak Pearlmutter, Lucas Parra: "A context-sensitive generalization of Independent Component Analysis", 1996 International Conference on Neural Information Processing, Hong Kong, September 24 - 27, 1996 .ps.gz,
27. Parra L.: "Symplectic Nonlinear Independent Component Analysis", Advances in Neural Information Processing Systems 8, D. S. Touretzky, M. C. Mozer, M. E. Hasselmo, eds., MIT Press, 1996. 437-443 .ps.gz,
28. Gustavo Deco, Lucas Parra: "Redundancy Reduction by Unsupervised Boltzmann Machines", WCNN San Diego 1994 IV-229-233
29. G. Hausler, T. Neumahr, L. Parra, H. Schvnfeld, B. Spellenberg: "Chaos, order and associative memory in video-feedback", Proc. SPIE Conf. 2039 "Chaos in Optics", San Diego 1993
30. Parra L., Deco G.: "A Stochastic Network with Rotor Neurons", Proc. Int. Joint Conf. NN 1993, Vol. 2, 1397-1400.
31. Deco G., Parra L.:"Self-Organization in stochastic Neural Networks", Proc. Int. Joint Conf. NN 1993, Vol. 1, 479-482.

Abstracts and others

1. Michael Chrostowski, Lucas C. Parra, Suzanna Becker, Oscillations after hearing loss in the auditory cortex: a computational model", Society for Neuroscience Meeting, Chicago, IL, Program number 2009-S-5272-SfN, November 2009. (??)
2. Davide Reato, Lucas C. Parra, Marom Bikson, "Low-amplitude electric fields modulate the dynamics of a neuronal network oscillating at gamma frequencies", Fourth International Workshop on Seizure Prediction, Kansas City, June 2009. (poster)
3. Davide Reato, Marom Bikson, Lucas C. Parra, "Low amplitude electrical stimulation modulates induced gamma activity in vitro", 3rd Tinnitus Research Initiative Meeting, Stresa, Italy, June 2009. (talk)
4. Xiang Zhou, Simon Henin, Glenis Long, Lucas C. Parra, "Spectral profile of tinnitus can be predicted from high-resolution audiogram and DPOAE for a subset of subjects", 3rd Tinnitus Research Initiative Meeting, Stresa, Italy, June 2009. (talk)
5. Xiang Zhou, Suzanne Thompson, Glenis Long, Lucas C. Parra, "Perception thresholds of pure tone in notched noise correlate with generator component of distortion product oto-acoustic emissions", 3rd Tinnitus Research Initiative Meeting, Stresa, Italy, June 2009. (poster)
6. Michael Chrostowski, Suzanna Becker, Lucas C. Parra, "Oscillatory activity and tinnitus: a computational model", 3rd Tinnitus Research Initiative Meeting, Stresa, Italy, June 2009. (poster)
7. An Lou, Lucas C. Parra, Paul Sajda, We Find Before We Look: Neural Signatures of Target Detection Preceding Saccades during Visual Search", Vision Sciences Society 9th Annual Meeting, Naples, FL, May 8-13, 2009 (poster)
8. Davide Reato, Marom Bikson, Lucas C. Parra, "Modulation of carbachol-evoked gamma activity in vitro with low-amplitude AC eletric fields", Society for Neuroscience Meeting, Washington, DC, Program number 41.19/06, November 2008. (poster)
9. Wei Ji Ma, Xiang Zhou, Lucas C. Parra, "Auditory-Visual Speech Recognition is Consistent with Bayes-Optimal Cue Combination", Computational and Systems Neuroscience 2008 Salt Lake City, February 2008. (poster)
10. Yuzhuo Su, Thomas Radman, Marom Bikson, Lucas C. Parra, "Small fields change spike timing: A functional role of local-field potentials?", Computational and Systems Neuroscience 2007 Salt Lake City, February 2007. (talk)
11. Lucas C. Parra, Barak Pearlmutter, "Illusory Percepts from Auditory Adaptation: a link between Tinnitus and Zwicker tone", Neural Information Processing Systems 2006 - Workshops, Models for Acoustic Processing, Whistler, December 2006 (talk).
12. S. A. Helekar, D. Salgado-Commissariat, P. Diep, R. Langot, K. K. Maul, O. Tchernichovski, L. Parra: "Preservation of the shape of auditory evoked responses to birdsong stimuli despite degradation of their spectrotemporal structure in zebra finches", Society for Neuroscience Meeting, Atlanta, GA, Program number 579.12, 2006.
13. Thomas Radman, Lucas C. Parra, Marom Bikson, "Amplification of small electric fields by neurons: implications for endogenous field-effects", Society for Neuroscience Meeting, Atlanta, GA, Program number 539.6, 2006.
14. Xiang Zhou, Lars Ross, Tue Lehn-Schioler, John J. Foxe, Lucas C. Parra, "Temporal visual cues aid speech recognition", 7th Annual Meeting of the International Multisensory Research Forum, Dublin, Ireland, June 18 - 21, 2006. poster.
15. S. Thakur, Y. Su, S. Karimi, S. Du, P. Sajda, W. Huang, L. Parra, "Spectral Separation Analyses of Proton MRSI Data: Validation with Tumor Grade of Brain Glioma", International Society for Magnetic Resonance in Medicine 14th Scientific Meeting & Exhibition, Seattle, Washington, USA, May 6-12, 2006. talk.
16. Lucas C. Parra, Barak A. Perlmutter, "Illusory Percepts from Auditory Adaptation". Computational and Systems Neuroscience 2006, March 5-8, 2006, Salt Lake City, Utah, poster.
17. Lucas C. Parra, Anthony J. Bell, "Spike Timing-Dependent Learning in Networks", Computational and Systems Neuroscience 2005, March 17-20, 2005 - Salt Lake City, oral presentation.
18. Lucas C. Parra, "Real-time EEG: Applications and Methods", Human Computer Interaction International Conference 2005, Las Vegas, July 22, Augmented Cognition Tutorial. invited talk.
19. Yuzhuo Su, Sunitha Thakur, Wei Huang, Shuyan Du, Paul Sajda, Lucas C. Parra, Spectral separation resolves partial volume effect in MRSI. Annual Fall Meeting of the BME Society, September 2005, poster.
20. Lucas Parra, "Acoustic Source Separation with Microphone Arrays", Audio Engineering Society annual Meeting, New York, October 2005.
21. Lucas Parra, Adam Gerson, Paul Sajda, "Origins of Response Time Variability in a Rapid Serial Visual Presentation Task", Cold Spring Harbor meeting Computational and Systems Neuroscience 2004. March 24-March 28, 2004
22. Lucas Parra, Marom Bikson, "Model of the effect of extracellular fields on spike time coherence", Neuroscience 2004, the Society for Neuroscience's 34th Annual Meeting, San Diego, October 23-27. poster.
23. Paul Sajda, Shuyan Du and Lucas Parra, "Recovery of constituent spectra using non-negative matrix factorization", invited submission, SPIE Wavelets X, San Diego, CA., 2003.
24. Lucas Parra, "An Introduction to Independent Component Analysis and Blind Source Separation", Part of a course on Neural Network in the EE department in Princeton Univ., November 1998 .ps.gz,
25. Lucas Parra, Clay Spence, Bert De Vries, "Convolutive Source Separation and Signal Modeling with ML", International Symposium on Intelligent Systems (ISIS'97), 1997, Regio Calabria, Italy. .ps.gz,
26. Lucas Parra, Harrison Barrett, "Maximum Likelihood Image Reconstruction from List-Mode Data", Society of Nuclear Medicine 43rd Annual Meeting, Denver, June 1996, Abstract.
27. Harrison Barrett, Timothy White, Lucas Parra, "List-Mode Likelihood", Society of Nuclear Medicine 43rd Annual Meeting, Denver, June 1996, Abstract.
28. Lucas Parra: "Unsupervised Training in Connectionist Models with Information Theoretic Principles", dissertation (German), Ludwig Maximilian Universitaet, Muenchen, 1996 .ps.gz,
29. Pearlmutter B., Parra L.: "Maximal information transfer in spiking neurons", Society for Neuroscience Abstracts, 21(480.7), 1995 .ps,
30. Lucas C. Parra and Barak A. Pearlmutter. Maximal information transfer in a spiking neuron. Snowbird Workshop on Neural Networks for Computing, April 1995. Poster.
31. L. Parra: "Optical neural nets with sparse connectivity", Diploma thesis, Medical Optics Lab in the Department of Physic, Ludwig Maximilian University Munich, 1992

Lucas C. Parra, November 23, 2009