University at Albany
 

Physics Faculty

Kevin Knuth
Associate Professor of Physics
Ph.D. University of Minnesota

Office: Physics 309
Telephone: (518) 442-4653
Email: kknuth@albany.edu
Web:  
http://knuthlab.rit.albany.edu

http://cyberphysics.rit.albany.edu

 

Academic History:
  • M.S. Physics, Montana State University (1990)
  • Instructor in Physics, Univ. of Wisconsin Center - Fond du Lac, WI. (1990-1991)
  • Instructor in Physics, Marian College, Fond du Lac WI (1991)
  • Ph.D. Physics, (Minor Mathematics) University of Minnesota (1995)
  • NIH Postdoctoral Fellow, Kresge Hearing Research Laboratory, Louisiana State University Medical Center, New Orleans LA. (1995-1996)
  • Research Associate, Department of Neuroscience, Albert Einstein College of Medicine, Bronx NY. (1996-1998)
  • NIH Postdoctoral Fellow, Speech and Hearing Sciences, Graduate School of the City University of New York, New York NY (1996-1998)
  • Adjunct Assistant Professor, Speech and Hearing Sciences, Graduate School of the City University of New York, New York NY (1997-1998).
  • Instructor, Departments of Otolaryngology and Neuroscience, Albert Einstein College of Medicine, Bronx NY (1998-1999)
  • Research Scientist III, Center for Advanced Brain Imaging, Nathan Kline Institute for Psychiatric Research, Orangeburg NY (1999-2001)
  • Instructor, Department of Physiology and Biophysics, Cornell University Medical Center, New York NY (1999-2000)
  • Research Scientist GS-14, Intelligent Systems Division, NASA Ames Research Center, Moffett Field CA. (2001-2005)
  • Assistant Professor, Department of Physics, University at Albany, Albany NY (2005-Present)
Research Areas:

Inductive Inference and Inquiry
Bayesian Probability Theory, Information Theory, The Algebra and Calculus of Questions, Machine Learning and Intelligent Instrumentation

Source Separation of Mixed Signals
Bayesian Source Separation, Identification of Evoked Brain Responses (EEG and MEG), Spectral Decomposition and Astrobiochemistry

Information Processing in the Brain
Dynamics of Neural Ensembles, Oscillatory Processes, Evoked Responses (ERPs), Hierarchical (or Heterarchical) Organization (Levels and Loops)

Identification of Relevant Causal Interactions
Information Theory and Transfer Entropy, Application to Large-Scale Earth Climate Data Sets.

Planetary Nebula Modeling
Characterization of 3D Density and Kinematics.

Current Research:

EEG Analysis Techniques
I am working to develop algorithms to identify multiple evoked neural responses from continuous EEG recordings, and to characterize oscillatory bursts. This work is performed in collaboration with Dr. Mingzhou Ding at the University of Florida, Dr. Steven Bressler at the Center for Complex Systems of Florida Atlantic University, and Dr. Charles E. Schroeder of the Nathan Kline Institute in New York. Our most recent algorithm, differentially Variable Component Analysis (dVCA), enables us for the first time to identify single-trial characteristics of neural responses.

Identification and Characterization of Polycyclic Aromatic Hydrocarbons
I am working with Dr. Duane Carbon of NASA Ames Research Center and Dr. John Skilling of Maximum Entropy Data Consultants to develop Bayesian Source Separation algorithms to identify and characterize the many species of organic molecules now known to populate interstellar clouds. !

Causal Relationships among Climate Variables
I am working with Dr. William Rossow to develop information-theoretic techniques to rapidly identify and characterize the causal relationships among global climate processes.

Algebra and Calculus of Questions
I am exploring the algebra and calculus of questions and its relation to information theory with the goal of developing the mathematics of inquiry. This work is expected to impact experimental design, search theory, machine learning and artificial intelligence.

Intelligent Instruments
I am working toward applying the new inquiry calculus to develop intelligent symbiotic instrument-analysis systems, which tightly couples an instrument to its analysis algorithm. This will allow the inference engine to make inferences from data as they are acquired, and request specific measurements from the instrument that in inquiry engine determines are critical to reducing uncertainty.

Planetary Nebula Modeling
In collaboration with Dr. Arsen Hajian at the United States Naval Observatory we are applying Bayesian methods to characterize and model Planetary Nebulae. These models are essential for obtaining gas density, which is relevant to the generation of organic molecules (see Identification and Characterization of Polycyclic Aromatic Hydrocarbons above).

Research Links:
Recent Publications: 

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)]

Knuth K.H. 2005. Informed source separation: A Bayesian tutorial. In: E. Kuruoglu (ed.), Proceedings of the 13th European Signal Processing Conference (EUSIPCO 2005), Antalya, Turkey. [pdf (81 kb)]

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. [PubMed Link]

Knuth K.H. 2004. Measuring questions: Relevance and its relation to entropy. 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.
[arXiv link] [pdf (121 kb)]

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)]

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)]

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)]

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)]

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)]

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)]

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)]

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.

Raine A., Ishikawa S.S, Arce E., Lencz T., Knuth K.H., Bihrle S., Lacasse L., and Colletti, P. 2003. Hippocampal structural asymmetry in unsuccessful psychopaths. Biol. Psychiatry. 55(2): 185-91. [PubMed link] [pdf (136 kb)]

Peshkovsky, A., Knuth K.H., Helpern, J.A. 2002. Motion correction in MRI using an apparatus for dynamic angular position tracking (ADAPT). Magn Reson Med. 49(1):138-43. [PubMed link ]

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)]

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)]

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)]

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)]

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 ]

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)]

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)]

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)]

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 ]

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)]

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)]

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]

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.

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)]

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)]

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)]

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)]

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)]

Knuth K.H., Broadhurst J.H., Schwartz B.J., and Hirschkoff E.C. 1996. Equivalent current sources of the auditory evoked gamma band and steady state fields. In: C.J. Aine, Y. Okada, G. Stroink, S.J. Swithenby, C.C. Wood (Eds.) Advances in Biomagnetism Research: Biomag96, Proceedings of the Tenth International Conference on Biomagnetism, pp. 943-946.

Stephen, J.M., Broadhurst J.H., Knuth K.H., Schwartz B.J. 1996. Determination of the nature of the connection between the auditory and visual cortex by measuring the response to a combined visual and auditory stimulus using a 37-SQUID biomagnetometer. In: C.J. Aine, Y. Okada, G. Stroink, S.J. Swithenby, C.C. Wood (Eds.), Advances in Biomagnetism Research: Biomag96, Proceedings of the Tenth International Conference on Biomagnetism, pp. 874-876.

Thompson B.J., Knuth K.H. and Lysak R.L. 1994. Quasiperiodicity of electron trajectories trapped in the auroral zone. Report to the Minnesota Supercomputer Institute UMSI 94/201, October 1994.