Research Papers

2008

  1. Knuth K.H. 2008. The origin of probability and entropy, Bayesian Inference and Maximum Entropy Methods in Science and Engineering, São Paulo, Brazil, 2008, AIP Conference Proceedings , American Institute of Physics, Melville NY, in press. [pdf 173K]
  2. Gençağa D., Carbon D.F., Knuth K.H. 2008. Characterization of Interstellar Organic Molecules, Bayesian Inference and Maximum Entropy Methods in Science and Engineering, São Paulo, Brazil, 2008, AIP Conference Proceedings , American Institute of Physics, Melville NY, in press. [pdf 332K]
  3. Knuth K.H., Gençağa D., Rossow W.B. 2008. Information-Theoretic Methods for Identifying Relationships among Climate Variables, Proceedings of the Earth-Sun System Technology Conference (ESTC 2008), Adelphi, MD. [pdf 172K]

2007

  1. Hajian A.R., Behr B.B., Cenko A.T., Olling R.P., Mozurkewich D., Armstrong J.T., Pohl B., Petrossian S., Knuth K.H., Hindsley R.B., Murison M., Efroimsky M., Dantowitz R., Kozubal M., Currie D.G., Nordgren T.A., Tycner C., McMillan? R.A. 2007. Initial results from the USNO dispersed Fourier Transform spectrograph. ApJ?, 661:616–633. [arxiv link][pdf 870K]
  2. Hajian A.R., Movit S.M., Trofimov D., Balick B., Terzian Y., Knuth K.H., Granquist-Fraser D., Huyser K.A., Jalobeanu A., McIntosh? D., Jaskot A.E., Palen S., Panagia N. 2007. An atlas of [ N II] and [O III] images and spectra of planetary nebulae. Astrophys. J., Suppl. Ser., 169:289–327.
  3. Burk R., Haas A., Moxley F.I., Knuth K.H., Ring B. 2007. Towards commanding unmanned ground vehicle movement in unfamiliar environments using unconstrained English: Initial research results, 11 th Annual International Command and Control Research and Technology Symposium, Cambridge UK, Sept 2007. [pdf 125K]
  4. Knuth, K.H., Tse M.K., Choinsky J., Maunu H.A, Carbon D.F. 2007. Bayesian source separation applied to identifying complex organic molecules in space. Proceedings of the IEEE Statistical Signal Processing Workshop, Madison WI, August 2007. [pdf 247K]
  5. Knuth K.H. 2007. Lattice theory, measures and probability. K.H. Knuth, A. Caticha, J.L. Center, A. Giffin, C.C. Rodriguez (eds.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Saratoga Springs, NY, USA, 2007, AIP Conference Proceedings 954, American Institute of Physics, Melville NY, 23-36. [pdf 134K]
  6. Knuth K.H., Erner P.M., Frasso S. 2007. Designing intelligent instruments. K.H. Knuth, A. Caticha, J.L. Center, A. Giffin, C.C. Rodriguez (eds.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Saratoga Springs, NY, USA, 2007, AIP Conference Proceedings 954, American Institute of Physics, Melville NY, 203-211. [pdf 222K]
  7. Tse M.K, Choinsky J., Carbon D.F. and Knuth K.H. 2007. Estimating background spectra. K.H. Knuth, A. Caticha, J.L. Center, A. Giffin, C.C. Rodriguez (eds.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Saratoga Springs, NY, USA, 2007, AIP Conference Proceedings 954, American Institute of Physics, Melville NY, 322-327. [pdf 159K]
  8. Rangan P., Knuth K.H. 2007. Analysis of intrusion detection and attack proliferation in computer networks. K.H. Knuth, A. Caticha, J.L. Center, A. Giffin, C.C. Rodriguez (eds.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Saratoga Springs, NY, USA, 2007, AIP Conference Proceedings 954, American Institute of Physics, Melville NY, 443-449. [pdf 187K]
  9. Trejo L.J., Knuth K.H., Prado R., Rosipal R., Kubitz K., Kochavi R., Matthews B. 2007. EEG-Based Estimation of Alertness and Mental Fatigue: Convergent Evidence for a Three-State Model, 12th International Conference on Human-Computer Interaction, Beijing China, July 2007.

2006

  1. Knuth K.H. 2006. Optimal Data-Based Binning for Histograms. Draft Paper. [pdf (444 kb)]
  2. Bollimunta A., Knuth K.H., Ding M. 2006. Trial-by-trial estimation of amplitude and latency variability in neuronal spike trains. J Neurosci Methods, 160(1):163-70. [pdf 671K]
  3. Knuth K.H., Shah A.S., Truccolo W., Ding M., Bressler S.L., Schroeder C.E. 2006. Differentially Variable Component Analysis (dVCA): Identifying Multiple Evoked Components using Trial-to-Trial Variability. J Neurophysiol. 95: 3257-3276. DOI:10.1152/jn.00663.2005 [pdf 799K]
  4. Wheeler K.R., Chang M.H., and Knuth K.H. 2006. Gesture based control and EMG decomposition. IEEE Trans Sys, Man, and Cybernetics, Part C, 36(4):503-514. [pdf 654K]
  5. Chen Y., Bressler S.L., Knuth K.H., Truccolo W.A., Ding M. 2006. Stochastic modeling of neurobiological time series: power, coherence, Granger causality, and separation of evoked responses from ongoing activity. Chaos 16(2):26113. This article was also selected to be published in the July 1, 2006 issue of the Virtual Journal of Biological Physics Research.
  6. Knuth K.H. 2006. Valuations on lattices and their application to information theory. (Invited paper), Proceedings of the 2006 IEEE World Congress on Computational Intelligence (IEEE WCCI 2006), Vancouver, BC, Canada, July 2006. [pdf 855K]
  7. Knuth K.H., Castle J.P., Wheeler K.R. 2006. Identifying excessively rounded or truncated data. (Invited paper), Proceedings of the 17 th meeting of The International Association for Statistical Computing—European Regional Section: Computational Statistics (COMPSTAT 2006), Rome, Italy, Aug 2006. [pdf 933K]

2005

  1. Knuth K.H.2005. Lattice duality: The origin of probability and entropy. Neurocomputing. 67C: 245-274. DOI: 10.1016/j.neucom.2004.11.039 [pdf (477 kb)]
  2. Lakatos P., Shah A.S., Knuth K.H., Ulbert I., Karmos G., Schroeder C.E. 2005. An oscillatory hierarchy controlling neuronal excitability and stimulus processing in the auditory cortex. J Neurophysiol. 94(3):1904-11. [pdf 823K]
  3. Knuth K.H. 2005. Informed source separation: A Bayesian tutorial. In: B. Sankur, A.E. Çetin, M. Tekalp, E. Kuruoglu (eds.), Proceedings of the 13th European Signal Processing Conference (EUSIPCO 2005), Antalya, Turkey. [pdf (81 kb)]
  4. Ding M., Knuth K.H., Chen Y., Bressler S.L., Schroeder C.E. 2005. Coping with trial-to-trial variability of event-related signals: A Bayesian approach. In: B. Sankur , A.E. Çetin, M. Tekalp , E. Kuruoğlu (ed.), Proceedings of the 13th European Signal Processing Conference (EUSIPCO 2005), Antalya, Turkey. [pdf 1.03M]
  5. Bollimunta A., Knuth K.H., and Ding M. 2005. Coping with trial-to-trial variability of event-related neuronal spike trains: A Bayesian perspective. In: K.H. Knuth, A.E. Abbas, R.D. Morris, J.P. Castle (eds.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, San José, California, USA, 2005, AIP Conference Proceedings 803, American Institute of Physics, Melville NY, pp. 543-551.
  6. Knuth K.H., Gotera A., Curry C.T., Huyser K.A., Wheeler K.R., Rossow W.B. 2005. Revealing relationships among relevant climate variables with information theory. Proceedings of the Earth-Sun System Technology Conference (ESTC 2005), Adelphi, MD. [pdf 1.1M]
  7. Knuth K.H. 2005. Toward question-asking machines: The logic of questions and the inquiry calculus. Tenth International Workshop on Artificial Intelligence and Statistics (AISTATS 2005), Barbados. [pdf 958K]

2004

  1. Shah A.S., Bressler S.L., Knuth K.H., Ding M., Mehta A.D., Ulbert I., Schroeder C.E. 2003. Neural dynamics and the fundamental mechanisms of event-related brain potentials. Cerebral Cortex. (feature article)14: 476-483. [PubMed? link] [pdf (457 kb)]
  2. Raine A., Ishikawa S.S, Arce E., Lencz T., Knuth K.H., Bihrle S., Lacasse L., and Colletti, P. 2004. Hippocampal structural asymmetry in unsuccessful psychopaths. Biol. Psychiatry. 55(2): 185-91. [PubMed? link] [pdf (136 kb)]
  3. Knuth K.H. 2004. Measuring questions: Relevance and its relation to entropy.In: R. Fischer, V. Dose, R. Preuss, U. v. Toussaint (eds.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Garching, Germany 2004,AIP Conference Proceedings 735, American Institute of Physics, Melville NY, pp. 517-524. [arXiv link] [pdf (121 kb)] [ps.zip (262 kb)]
  4. Huyser K.A., Knuth K.H., Fischer B., Schumann J., Granquist-Fraser D., Hajian A.R. 2004. Discovering planetary nebula geometries: Explorations with a hierarchy of models. To be published in: R. Fischer, V. Dose (eds.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Garching, Germany 2004, AIP Conference Proceedings, American Institute of Physics, Melville NY. [ps.zip (590 kb)][pdf (259kb)]

2003

  1. Knuth K.H. 2003. Intelligent machines in the 21st century: Automating the processes of inference and inquiry. Phil. Trans. Roy. Soc. Lond. A, Millennium Issue. 361(1813):2859-73. [pdf (369kb)]
  2. Truccolo W.A., Knuth K.H., Shah A.S., Bressler S.L., Schroeder C.E., and Ding M. 2003. Estimation of single-trial multi-component ERPs?: Differentially variable component analysis. Biol. Cybern. 89(6): 426-38. [PubMed? link] [pdf (717kb)]
  3. Peshkovsky, A., Knuth K.H., Helpern, J.A. 2003. Motion correction in MRI using an apparatus for dynamic angular position tracking (ADAPT). Magn Reson Med. 49(1):138-43.
  4. Knuth K.H. 2003. Deriving laws from ordering relations. In: G.J. Erickson, Y. Zhai (eds.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Jackson Hole WY 2003, AIP Conference Proceedings 707, American Institute of Physics, Melville NY, pp. 204-235. [arXiv link] [pdf (202 kb)]
  5. Shah A.S., Knuth K.H., Lakatos P., Schroeder C.E. 2003. Lessons from applying differentially variable component analysis (dVCA) to electroencephalographic activity. In: G.J. Erickson, Y. Zhai (eds.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Jackson Hole WY 2003, AIP Conference Proceedings 707, American Institute of Physics, Melville NY, pp. 167-181. [pdf (445 kb)]
  6. Fischer B., Hajian A.R., Knuth K.H., Schumann J. 2003. Automatic derivation of statistical data analysis algorithms: Planetary nebulae and beyond. In: G.J. Erickson, Y. Zhai (eds.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Jackson Hole WY 2003, AIP Conference Proceedings 707, American Institute of Physics, Melville NY, pp. 276-294. [pdf (221 kb)]
  7. Gardner D., Abato M., Knuth K.H., and Robert A. 2003. Neuroinformatics for neurophysiology: The role, design, and use of databases. In: Databasing the Brain, edited by S.H. Koslow and S. Subramaniam. John Wiley, New York.

2002

  1. Knuth K.H. 2002. What is a question? In: C. Williams (ed.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Moscow ID 2002, AIP Conference Proceedings 659, American Institute of Physics, Melville NY, pp. 227-242. [arXiv link] [pdf (367 kb)]
  2. Knuth K.H., Hajian A.R. 2002. Hierarchies of models: toward understanding planetary nebulae. In: C. Williams (ed.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Moscow ID 2002, AIP Conference Proceedings 659, American Institute of Physics, Melville NY, pp. 92-103. [pdf (745 kb)]
  3. Shah A.S., Knuth K.H., Truccolo W.A., Ding M., Bressler S.L., Schroeder C.E. 2002. A Bayesian approach to estimating coupling between neural components: evaluation of the multiple component event related potential (mcERP) algorithm. In: C. Williams (ed.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Moscow ID 2002, AIP Conference Proceedings 659, American Institute of Physics, Melville NY, pp. 23-38. [pdf (1.05 mb)]
  4. Truccolo, W.A., Ding M., Knuth K.H., Nakamura, R. and Bressler S.L. 2002. Variability of cortical evoked responses: implications for the analysis of functional connectivity. Clinical Neurophysiol. 113(2):206-26. [PubMed? link ] [pdf (433 kb)]
  5. Szeszko P.R., Strous R., Goldman R.S., Ashtari M., Knuth K.H., Lieberman J.A., Bilder R.M. 2002. Neuropsychological correlates of hippocampus volumes in first-episode schizophrenia. Am J Psychiatry. 159(2):217-26. [PubMed? link ]

2001

  1. Gardner D., Abato M., Knuth K.H., DeBellis? R., and Erde S.M. 2001. Dynamic publication model for neurophysiology databases. (Invited submission). Phil. Trans. Roy. Soc. Lond. B Biol. Sci. 356(1412):1229-47. [PubMed? link ][pdf 3.3M]
  2. Gardner D., Knuth K.H., Abato M., Erde S.M., White M., DeBellis? R., Gardner E.P. 2001. Common data model for neuroscience data and data model exchange. J Am Med Inform Assoc. 8(1):17-33. [PubMed?]
  3. Knuth K.H., Truccolo, W.A., Bressler S.L., Ding M. 2001. Separation of multiple evoked responses using differential amplitude and latency variability. Proceedings of the Third International Workshop on Independent Component Analysis and Blind Signal Separation (ICA 2001), San Diego CA. [arXiv link] [pdf (248 kb)]
  4. Knuth K.H. 2001. Inductive logic: From experimental design to data analysis. In: R.L. Fry and M. Bierbaum (eds.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Baltimore 2001, AIP Conference Proceedings 617, American Institute of Physics, Melville NY, pp. 392-404. [arXiv link] [pdf (58 kb)]
  5. Truccolo, W.A., Knuth K.H., Ding M., Bressler S.L. 2001. Bayesian estimation of amplitude, latency and waveform of single trial cortical evoked components. In: R.L. Fry and M. Bierbaum (eds.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Baltimore 2001, AIP Conference Proceedings 617, American Institute of Physics, Melville NY, pp. 64-73. [pdf (100 kb)]
  6. Knuth K.H. 2001. Source separation as an exercise in logical induction. In: A. Mohammad-Djafari (ed.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Paris 2000, American Institute of Physics, Melville NY, pp. 340-349. [arXiv link] [pdf (48 kb)]
  7. Hajian, A.R. and Knuth K.H. 2001. Three-dimensional morphologies of planetary nebulae. In: A. Mohammad-Djafari (ed.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Paris 2000, American Institute of Physics, Melville NY, pp. 569-578. [pdf (299 kb)]
  8. Knuth K.H. 2001. Application of Bayesian inference to the study of hierarchical organization in self-organized complex adaptive systems. In: G.J. Erickson, J.T. Rychert and C.R. Smith (eds.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Boise 1999, American Institute of Physics, Melville NY, pp. 264-273.

1999

  1. Knuth K.H. 1999. A Bayesian approach to source separation. In: J.-F. Cardoso, C. Jutten and P. Loubaton (eds.), Proceedings of the First International Workshop on Independent Component Analysis and Signal Separation: ICA'99, Aussios, France, Jan. 1999, pp. 283-288. [arXiv link] [pdf (218 kb)]
  2. Knuth K.H., Vaughan H.G., Jr. 1999. Convergent Bayesian formulations of blind source separation and electromagnetic source estimation. In: W. von der Linden, V. Dose, R. Fischer and R. Preuss (eds.), Maximum Entropy and Bayesian Methods, Munich 1998, Dordrecht. Kluwer, pp. 217-226. [pdf (204 kb)]

1998

  1. Knuth K.H. 1998. Bayesian source separation and localization. In: A. Mohammad-Djafari (ed.), SPIE'98 Proceedings: Bayesian Inference for Inverse Problems, San Diego, July 1998, pp. 147-158. [arXiv link] [pdf (363 kb)]
  2. Knuth K.H. 1998. Difficulties applying recent blind source separation techniques to EEG and MEG. In: G.J. Erickson, J.T. Rychert and C.R. Smith (eds.), Maximum Entropy and Bayesian Methods, Boise 1997, Kluwer, Dordrecht, pp. 209-222. [pdf (421 kb)]
  3. Knuth K.H. 1998. Mathematics of distortion product otoacoustic emission generation. In: Neurotransmission and Hearing Loss: Basic Science and Clinical Applications, ed. C.I. Berlin, Singular Publishing Group, Inc., San Diego, pp. 149-159. [pdf (41 kb)]