Predicting Auditory Tone-in-Noise Detection Performance: The Effects of Neural Variability

IEEE Transactions on Biomedical Engineering

Volumn 51, Issue 2, 2004, Pages 282-293

  Huettel, Lisa G ^a   Collins, Leslie M ^a  

^a Duke University   (United States)

Author keywords

Auditory model; Neural variability; Signal detection theory; Simultaneous masking

Indexed keywords

ACOUSTIC SIGNAL PROCESSING; BIOELECTRIC POTENTIALS; COST EFFECTIVENESS; DATA ACQUISITION; FORECASTING; PHYSIOLOGY; SIGNAL DETECTION;

AUDITORY NERVE FIBER RESPONSES; AUDITORY TONE-IN-NOISE DETECTION; PSYCHOPHYSICAL DATA;

NEUROLOGY;

ACOUSTIC NERVE FIBER; ARTICLE; AUDITORY MASKING; HEARING; HUMAN; MODEL; NOISE; PREDICTION; PSYCHOPHYSIOLOGY; SIGNAL DETECTION; SIGNAL PROCESSING; THEORY;

EID: 1642540272     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2003.820395     Document Type: Article

References (56)

1. M. M. Taylor and S. M. Forbes, "Monaural detection with contralateral cue (MDCC). I. Better than energy detector performance by human observers," J. Acoust. Soc. Amer., vol. 46, pp. 1519-1526, 1969.
2. W. W. Peterson, T. G. Birdsall, and W. C. Fox, "The theory of signal detectability," Trans. IRE, vol. PGIT-4, pp. 171-212, 1954.
3. W. P. Tanner, Jr. and T. G. Birdsall, "Definitions of d' and η as psychophysical measures," J. Acoust. Soc. Amer., vol. 30, pp. 922-928, 1958.
4. W. P. Tanner, Jr., "Theory of signal detectability as an interpretive tool for psychophysical data," J. Acoust. Soc. Amer., vol. 32, pp. 1140-1147, 1960.
5. W. P. Green and W. P. Swets, Signal Detection Theory and Psychophysics. New York: Kreiger, 1974.
6. C. W. Sherwin, F. Kodman, Jr., J. J. Kovaly, W. C. Prothe, and J. Melrose, "Detection of signals in noise: A comparison between the human detector and an electronic detector," J. Acoust. Soc. Amer., vol. 28, pp. 617-622, 1956.
7. S. M. Pfafflin and M. V. Mathews, "Energy-detection model for monaural auditory detection," J. Acoust. Soc. Amer., vol. 34, pp. 1842-1853, 1962.
8. L. A. Jeffress, "Stimulus-oriented approach to detection," J. Acoust. Soc. Amer., vol. 36, pp. 766-774, 1964.
9. -, "Stimulus-oriented approach to detection re-examined," J. Acoust. Soc. Amer., vol. 41, pp. 480-488, 1967.
10. -, "Mathematical and electrical models of auditory detection," J. Acoust. Soc. Amer., vol. 44, pp. 187-203, 1968.
11. W. M. Siebert, "Stimulus transformations in the peripheral auditory system," in Recognizing Patterns, W. M. Kolers and W. M. Eden, Eds. Cambridge, MA: MIT Press, 1968, pp. 104-133.
12. H. S. Colburn, "Theory of binaural interaction based on auditory-nerve data. I. General strategy and preliminary results on interaural discrimination," J. Acoust. Soc. Amer., vol. 54, pp. 1458-1470, 1973.
13. -, "Theory of binaural interaction based on auditory-nerve data. II. Detection of tones in noise," J. Acoust. Soc. Amer., vol. 61, pp. 525-533, 1977.
14. R. D. Patterson, M. H. Allerhand, and C. Giguère, "Time-domain modeling of peripheral auditory processing: A modular architecture and a software platform," J. Acoust. Soc. Amer., vol. 98, pp 1890-1894, 1995.
15. L. H. Carney, "A model for the responses of low-frequency auditory-nerve fibers in cats," J. Acoust. Soc. Amer., vol. 93, pp. 401-417, 1993.
16. X. Zhang, M. G. Heinz, I. C. Bruce, and L. H. Carney, "A phenomenological model for the responses of auditory-nerve fibers-I: Nonlinear tuning with compression and suppression," J. Acoust. Soc. Amer., vol. 109, pp. 648-670, 2001.
17. M. G. Heinz, H. S. Colburn, and L. H. Carney, "Evaluating auditory performance limits-I: One-parameter discrimination using a computational model for the auditory nerve," Neural Computation, vol. 13, pp. 2273-2316, 2001.
18. -, "Evaluating auditory performance limits-I: One-parameter discrimination with random level variation," Neural Computation, vol. 13, pp. 2317-2338, 2001.
19. -, "Rate and timing cues associated with the cochlear amplifier: Level discrimination based on monaural cross-frequency coincidence detection," J. Acoust. Soc. Amer., vol. 110, pp. 2065-2084, 2001.
20. W. M. Siebert, "Frequency discrimination in the auditory system: Place or periodicity mechanisms?," Proc. IEEE, vol. 58, pp. 723-730, 1970.
21. L. C. Gresham and L. M. Collins, "Analysis of the performance of a model-based optimal auditory signal processor," J. Acoust. Soc. Amer., vol. 103, pp. 2520-2529, 1998.
22. L. G. Huettel and L. M. Collins, "Using computational auditory models to predict simultaneous masking data: Model comparison," IEEE Trans. Biomed. Eng., vol. 46, pp. 1432-1440, Dec. 1999.
23. N. Y. S. Kiang, T. Watanabe, E. C. Thomas, and L. F. Clark, "Discharge patterns of single fibers in the cat's auditory nerve," in MIT Res. Mono. 35. Cambridge, MA: MIT Press, 1965.
24. C. S. Watson, M. E. Rilling, and W. T. Bourbon, "Receiver-operating characteristics determined by a mechanical analog to the rating scale," J. Acoust. Soc. Amer., vol. 36, pp. 283-288, 1964.
25. J. P. Egan, A. E. Schulman, and G. Z. Greenberg, "Operating characteristics determined by binary decisions and by rating," J. Acoust. Soc. Amer., vol. 31, pp. 768-773, 1959.
26. C. Giguère and P. C. Woodland, "A computational model of the auditory periphery for speech and hearing research. I. Ascending path," J. Acoust. Soc. Amer., vol. 95, pp. 331-342, 1994.
27. B. R. Glasberg and B. C. J. Moore, "Derivation of auditory filter shapes from notched-noise data," Hear. Res., vol. 47, pp. 103-138, 1990.
28. G. Von Bèkèsy, Experiments in Hearing. New York: McGraw-Hill, 1960.
29. B. M. Johnstone, R. Patuzzi, and G. K. Yates, "Basilar membrane measurements and the traveling wave," Hear. Res., vol. 22, pp. 147-153, 1986.
30. D.O. Kim, "Active and nonlinear biomechanics and the role of the outer-hair-cell subsystem in the mammalian auditory system," Hear. Res., vol. 22, pp. 105-114, 1986.
31. R. Meddis, "Simulation of auditory-neural transduction: Further studies," J. Acoust. Soc. Amer., vol. 83, pp. 1056-1063, 1988.
32. R. Meddis, M. J. Hewitt, and T. M. Shackleton, "Implementation details of a computation model of the inner hair-cell/auditory-nerve synapse," J. Acoust. Soc. Amer., vol. 87, pp. 1813-1816, 1990.
33. M. J. Hewitt and R. Meddis, "An evaluation of eight computer models of mammalian inner hair-cell function," J. Acoust. Soc. Amer., vol. 90, pp. 904-917, 1991.
34. D. M. Green, "Consistency of auditory detection judgments," Psycolo. Rev., vol. 71, pp. 392-407, 1964.
35. D. R. Cox and P. A. W. Lewis, The Statistical Analysis of Series of Events. London, U.K.: Methuen, 1966.
36. D. H. Perkel, G. L. Gerstein, and G. P. Moore, "Neuronal spike trains and stochastic point processes 1. The single spike train," Biophys. J., vol. 7, pp. 391-418, 1967.
37. D. L. Snyder and M. I. Miller, Random Point Processes in Time and Space. New York: Springer-Verlag, 1991.
38. L. Devroye, Non-Uniform Random Variate Generation. New York: Springer-Verlag, 1986.
39. D. H. Johnson, "Point process models of single-neuron discharges," J. Comp. Neurosci., vol. 3, pp. 275-299, 1996.
40. R. P. Gaumond, D. O. Kim, and C. E. Molnar, "Response of cochlear nerve-fibers to brief acoustic stimuli: Role of discharge history effects, " J. Acoust. Soc. Amer., vol. 74, pp. 1392-1398, 1983.
41. D. H. Johnson and A. Swami, "The transmission of signals by auditory-nerve fiber discharge patterns," J. Acoust. Soc. Amer., vol. 74, pp. 493-501, 1983.
42. M. I. Miller, "Algorithms for removing recovery-related distortion from auditory nerve discharge patterns," J. Acoust. Soc. Amer., vol. 77, pp. 1452-1464, 1985.
43. C. Tsuchitani and D. H. Johnson, "Statistical modeling of auditory neuron discharges," in Sensory Processing in the Mammalian Brain: Neural Substrates and Experimental Strategies, J. S. Lund, Ed. Oxford, U.K.: Oxford, 1989, pp. 147-171.
44. R. P. Gaumond, "Ratio of variance to mean of action potential counts for an auditory nerve fiber model with second-order refractory behavior," J. Acoust. Soc. Amer., vol. 93, pp. 2035-2037, 1993.
45. M. I. Miller and K. E. Mark, "A statistical study of cochlear nerve discharge patterns in response to complex speech stimuli," J. Acoust. Soc. Amer., vol. 92, pp. 202-209, 1992.
46. M. I. Miller and J. Wang, "A new stochastic model for auditory-nerve discharge," J. Acoust. Soc. Amer., vol. 94, pp. 2093-2107, 1993.
47. M. C. Liberman, "Auditory-nerve response from cats raised in a low-noise chamber," J. Acoust. Soc. Amer., vol. 63, pp. 442-455, 1978.
48. C. D. Geisler, From Sound to Synapse: Physiology of the Mammalian Ear. New York: Oxford Univ. Press, 1998.
49. M. F. Spiegel and D. M. Green, "Two procedures for estimating internal noise," J. Acoust. Soc. Amer., vol. 70, pp. 69-73, 1981.
50. R. A. Siegel and H. S. Colburn, "Binaural processing of noisy stimuli: Internal/external noise ratios for diotic and dichotic stimuli," J. Acoust. Soc. Amer., vol. 86, pp. 2122-2128, 1989.
51. A. Erell, "Rate coding model for discrimination of simple tones in the presence of noise," J. Acoust. Soc. Amer., vol. 84, pp. 204-214, 1988.
52. Y. Viniotis, Probability and Random Processes. New York: McGraw-Hill, 1998, pp. 334-344.
53. H. Van Trees, Detection, Estimation, and Modulation Theory. New York: Wiley, 1968, pp. 86-133.
54. D. A. Nelson and T. W. Fortune, "High-level psychophysical tuning curves: Simultaneous masking with different noise bandwidths," J. Speech Hear. Res., vol. 34, pp. 374-378, 1991.
55. E. D. Young and P. E. Barta, "Rate responses of auditory-nerve fibers in noise near masked threshold," J. Acoust. Soc. Amer., vol. 79, pp. 426-442, 1986.
56. M. G. Heinz, H. S. Colburn, and L. H. Carney, "Quantifying the implications of nonlinear cochlear tuning for auditory-filter estimates," J. Acoust. Soc. Amer., vol. 111, pp. 996-1011, 2002.