Interdisciplinary Life Science - PULSe Great research is a matter of choice

Michael Heinz

Michael Heinz Profile Picture

Assistant Professor, Departments of Speech, Language, and Hearing Sciences and Biomedical Engineering
Ph.D., 2000, Massachusetts Institute of Technology

Contact Info:

Training Group(s):
Integrative Neuroscience

Current Research Interests:

The long-term goals of my research program are to understand the neural bases for robust speech perception by studying the effects of sensorineural hearing loss on neural coding, and to transfer this knowledge to technologies that improve the lives of people with hearing loss. My research involves the coordinated use of neurophysiology, psychoacoustics, and computational modeling. This multi-disciplinary approach provides a powerful framework to extend our understanding of the effects of different types of hearing loss on neural and perceptual responses to sound. This knowledge will be extremely valuable for developing diagnostic tests, for evaluating the limitations of current hearing aids, and for suggesting novel strategies for hearing aids and cochlear implants. In addition, a better understanding of the salient features of speech and how the normal auditory system processes these features with ease will have implications for auditory signal processing technologies, such as automatic speech recognition, speech compression, and sound-source segregation.

Selected Publications:

Kale, S. and Heinz, M.G. (2010). “Envelope coding in auditory nerve fibers following noise-induced hearing loss,” J. Assoc. Res. Otolaryngology, 11, 657-673.

Scheidt, R.E., Kale, S. and Heinz, M.G. (2010). “Noise-induced hearing loss alters the temporal dynamics of auditory-nerve responses,” Hear. Res., 269, 23-33.

Heinz, M.G. and Swaminathan, J. (2009). “Quantifying envelope and fine-structure coding in auditory nerve responses to chimaeric speech,” J. Assoc. Res. Otolaryngology, 10, 407-423.

Jennings, S.G., Strickland, E.A., and Heinz, M.G. (2009). “Precursor effects on behavioral estimates of frequency selectivity and gain in forward masking,” J. Acoust. Soc. Am., 125, 2172-2181.

Chintanpalli, A., and Heinz, M.G. (2007). “Effect of auditory-nerve response variability on estimates of tuning curves,” J. Acoust. Soc. Am. 122, EL203-EL209.

Heinz, M.G., Issa, J.B., and Young, E.D. (2005). Auditory-nerve rate responses are inconsistent with common hypotheses for the neural correlates of loudness recruitment, J. Assoc. Res. Otolaryngology 6, 91-105.

Heinz, M.G., and Young, E.D. (2004). Activity growth rates in auditory-nerve fibers after noise-induced hearing loss, J. Neurophysiol. 91, 784-795.

Colburn, H.S., Carney, L.H., and Heinz, M.G. (2003). Quantifying the information in auditory-nerve responses for level discrimination, J. Assoc. Res. Otolaryngology 4, 294-311.

Heinz, M.G., Colburn, H.S., and Carney, L.H. (2002). Quantifying the implications of nonlinear cochlear tuning for auditory-filter estimates, J. Acoust. Soc. Am. 111, 996-1011.

Carney, L.H., Heinz, M.G., Evilsizer, M.E., Gilkey, R.H., and Colburn, H.S. (2002). Auditory phase opponency: A temporal model for masked detection at low frequencies, Acustica, Acta Acustica 88, 334-347.

Formby, C., Heinz, M.G., and Aleksandrovsky, I.V. (2002). Temporal integration of sinusoidal increments in the absence of absolute energy cues, J. Speech Lang. Hear. Res. 45, 1285-1296.

Heinz, M.G., Colburn, H.S., and Carney, L.H. (2001). Rate and timing cues associated with the cochlear amplifier: Level discrimination based on monaural cross-frequency coincidence detection, J. Acoust. Soc. Am. 110, 2065-2084.

Heinz, M.G., Colburn, H.S., and Carney, L.H. (2001). Evaluating auditory performance limits: I. One-parameter discrimination using a computational model for the auditory nerve, Neural Computation 13, 2273-2316.

Heinz, M.G., Colburn, H.S., and Carney, L.H. (2001). Evaluating auditory performance limits: II. One-parameter discrimination with random level variation, Neural Computation 13, 2317-2339.

Heinz, M.G., Zhang, X., Bruce, I.C., and Carney, L.H. (2001). Auditory-nerve model for predicting performance limits of normal and impaired listeners, Acoustic Research Letters Online 2, 91-96.

Zhang, X., Heinz, M.G., Bruce, I.C., and Carney, L.H. (2001). A phenomenological model for the responses of auditory-nerve fibers: I. Nonlinear tuning with compression and suppression, J. Acoust. Soc. Am. 109, 648-670.

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