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:

mheinz@purdue.edu
765-496-6627
LYLE 3064
https://engineering.purdue.edu/auditory/

Training Group(s):
Integrative Neuroscience

Active Mentor - currently hosting PULSe students for laboratory rotations and recruiting PULSe students into the laboratory; serves on preliminary exam committees

Current Research Interests:

My research focuses on understanding and quantifying relations between physiological and perceptual effects of sensorineural hearing loss (SNHL). In quantifying these relations, I have a long history of NIH funding and published work involving the coordinated use of neurophysiology, psychoacoustics, and computational modeling. My doctoral training in Speech and Hearing Science at MIT involved the theoretical and computational advancement of classic approaches to relating physiological responses to psychophysical performance, with the motivation to incorporate physiological properties associated with SNHL. My post-doctoral training in Biomedical Engineering at Johns Hopkins University involved single-unit neurophysiological recording in animals with permanent noise-induced hearing loss. As a faculty member at Purdue, I direct the Auditory Neurophysiology and Modeling Laboratory, where we have been combining these neurophysiological and modeling approaches. Our projects have focused on characterizing numerous effects of permanent SNHL on temporal coding using single-unit recordings from auditory-nerve fibers. We have also compared numerous non-invasive physiological assays (e.g., OAEs, ABRs, EFRs) to the single-unit data following SNHL. We are also measuring behavioral consequences of noise-induced hearing loss in our lab using the same species and noise exposures used in our physiological studies. We have expanded our work to include both temporary and permanent hearing losses due to noise exposures, along with several ototoxic models of SNHL (e.g., carboplatin, gentamycin, and furosemide). Recently, we have been leveraging our in-depth knowledge of relationships between single-unit and non-invasive assays of auditory function in various chinchilla models of SNHL to develop physiological biomarkers for applications in precision audiology.

Selected Publications:

Trevino, M., Lobarinas, E., Maulden, A., and Heinz, M. G. (2019). “The chinchilla animal model for hearing science and noise-induced hearing loss,” J. Acoust. Soc. Am., 146, 3710-3732.

Henry, K.S., Sayles, M., Hickox, A.E., and Heinz, M.G. (2019). “Divergent auditory nerve encoding deficits between two common etiologies of sensorineural hearing loss,” J. Neurosci., 39, 6879-6887.

Bharadwaj, H.M., Mai, A.R., Simpson, J.M., Choi, I., Heinz, M.G., Shinn-Cunningham, B.G., (2019). “Non-invasive assays of cochlear synaptopathy -- Candidates and considerations,” Neurosci., 407, 53-66.

Verschooten, E., Shamma, S., Oxenham, A.J., Moore, B.C.J., Joris, P.X., Heinz, M.G., Plack, C.J., (2019). “The upper frequency limit for the use of phase locking to code temporal fine structure in humans: A compilation of viewpoints,” Hear. Res., 377, 109–121.

Hickox, A.E., Larsen, E., Heinz, M.G., Shinobu, L., and Whitton, J.P., (2017). “Translational issues in cochlear synaptopathy,” Hear. Res., 349, 164-171.

Sayles, M., and Heinz, M.G. (2017). “Afferent coding and efferent control in the normal and impaired cochlea,” In G. Manley, A. Gummer, R.R. Fay, A.N. Popper (Eds.), Understanding the Cochlea [Springer Handbook of Auditory Research (SHAR)], Springer, New York, pp. 215-252.

Henry, K.S., Kale, S., and Heinz, M.G. (2016). “Distorted tonotopic coding of temporal envelope and fine structure with noise-induced hearing loss,” J. Neurosci., 36, 2227-2237.

Smalt, C., Heinz, M.G., and Strickland, E. A. (2014). “Modeling the time-varying and level dependent effects of the medial olivocochlear reflex in auditory-nerve responses,” J. Assoc. Res. Otolaryngol., 15, 159-173.

Henry, K.S., and Heinz, M.G. (2012). “Diminished temporal coding with sensorineural hearing loss emerges in background noise,” Nat. Neurosci., 15, 1362-1364.

Swaminathan, J. and Heinz, M.G. (2012). “Psychophysiological analyses demonstrate the importance of neural envelope coding for speech perception in noise,” J. Neurosci., 32, 1747-1756.

Chintanpalli, A., Jennings, S.G., Heinz, M.G., and Strickland, E. A. (2012). “Modeling the anti-masking effects of the olivocochlear reflex in auditory-nerve responses to tones in noise,” J. Assoc. Res. Otolaryngol., 13: 219-235.

Bidelman, G.M. and Heinz, M.G. (2011). “Auditory-nerve responses predict pitch attributes related to musical consonance and dissonance for normal and impaired hearing,” J. Acoust. Soc. Am., 130, 1488-1502.

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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