Malvin C. Teich, Ph.D.
Professor Emeritus, Biomedical Engineering
Professor Emeritus, Electrical and Computer Engineering
Professor Emeritus, Physics
Hearing Research Center
Ph.D., Electrical Engineering, Cornell University
M.S., Electrical Engineering, Stanford University
S.B., Physics, Massachusetts Institute of Technology
Phone: (617) 353-1236
Fax: (617) 353-6440
Wavelet analysis of fractal biological signals; neural coding; auditory and visual psychophysics; quantum imaging.
Dr. Teich’s research interests center on information transmission and processing in biological sensory systems. He is studying how acoustical and optical stimuli are encoded into sequences of action potentials at various locations in the auditory and visual systems. He has observed that sensory neural-spike patterns behave as fractal sequences of events, with rates that wax and wane over a broad range of time scales. He is investigating possible synaptic origins of this behavior and developing fractal stochastic point-process models to describe it. He is also studying a new class of neural-based psychophysical models that view the ascending pathways of the auditory and visual systems as amplifying neural networks. These models suggest that detection noise likely originates in the central neural network, rather than at the periphery. He is also interested in how the fractal behavior of the electrocardiogram is modified by heart disease.
Selected Recent Publications
M. C. Booth, B. E. A. Saleh, M. C. Teich. “Polarization-Sensitive Quantum Optical Coherence Tomography: Experiment” Opt. Commun. 284: 2542-2549. (2011)
B. E. A. Saleh and M. C. Teich. Fundamentals of Photonics, Second Edition. 1177 pp: Wiley. (2007)
S. B. Lowen and M. C. Teich. Fractal-Based Point Processes. 594 pp: Wiley. (2005)
S. B. Lowen, T. Ozaki, E. Kaplan, B. E. A. Saleh, M. C. Teich. “Fractal Features of Dark, Maintained, and Driven Neural Discharges in the Cat Visual System” Methods. 24: 377-394. (2001)
M.C. Teich, S.B. Lowen, B.M. Jost, K. Vibe-Rheymer, C. Heneghan. “Heart-Rate Variability: Measures and Models in Nonlinear Biomedical Signal Processing” Nonlinear Biomedical Signal Processing, Vol. II, Dynamic Analysis and Modeling, edited by M. Akay. IEEE Press, New York. 6: 159-213. (2001)