Tuning and timing in the gerbil ear: Wiener-kernel analysis

Hearing Research

Volumn 174, Issue 1-2, 2002, Pages 206-221

  Lewis, Edwin R ^a   Henry, Kenneth R ^b   Yamada, Walter M ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Gerbil cochlea; Reverse correlation; Suppression; Temporal response; Tuning

Indexed keywords

ACCURACY; ANIMAL TISSUE; ARTICLE; CALCULATION; COCHLEA; COCHLEAR NERVE; CONTROLLED STUDY; CORRELATION FUNCTION; GERBIL; NERVE FIBER; NERVE STIMULATION; NONHUMAN; PREDICTION; PRIORITY JOURNAL; STIMULUS RESPONSE; WAVEFORM; ANIMAL; AUDITORY STIMULATION; BIOLOGICAL MODEL; ELECTROPHYSIOLOGY; METHODOLOGY; PHYSIOLOGY;

ACOUSTIC STIMULATION; ANIMALS; AXONS; COCHLEAR NERVE; ELECTROPHYSIOLOGY; GERBILLINAE; MODELS, NEUROLOGICAL;

EID: 0036888678     PISSN: 03785955     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0378-5955(02)00695-0     Document Type: Article

References (30)

1. Carney L.H., Yin C.T. Temporal coding of resonances by low-frequency auditory nerve fibers: single-fiber responses and a population model. J. Neuropysiol. 60:1988;1653-1677.
2. de Boer E., de Jongh H.R. On cochlear encoding: potentialities and limitations of the reverse-correlation technique. J. Acoust. Soc. Am. 63:1978;115-135.
3. de Boer E., Kuyper P. Triggered correlation. IEEE Trans. Biomed. Eng. 15:1968;169-179.
4. Edwards B.W., Wakefield G.H. The spectral shaping of neural discharges by refractory effects. J. Acoust. Soc. Am. 93:1993;3353-3364.
5. Eggermont J.J. Wiener and Volterra analyses applied to the auditory system. Hear. Res. 66:1993;177-201.
6. Eggermont J.J., Aertsen A.M.H.J., Johannesma P.I.M. Quantitative characterisation procedure for auditory neurons based on the spectro-temporal receptive field. Hear. Res. 10:1983;167-190.
7. Eggermont J.J., Aertsen A.M.H.J., Johannesma P.I.M. Prediction of the responses of auditory neurons in the midbrain of the grass frog based on the spectro-temporal receptive field. Hear. Res. 10:1983;191-202.
8. Eggermont J.J., Johannesma P.I.M., Aertsen A.M.H.J. Reverse-correlation methods in auditory research. Q. Rev. Biophys. 16:1983;341-414.
9. Evans, E.F., 1977. Frequency selectivity at high-signal levels of single units in cochlear nerve and nucleus. In: Evans, E.F., Wilson, J.P. (Eds.), Psychophysics and Physiology of Hearing. Academic Press, London, pp. 185-196.
10. Evans, E.F., 1989. Cochlear filtering: a view seen through the temporal discharge patterns of single cochlear nerve fibers. In: Wilson J.P., Kemp D.T. (Eds.), Cochlear Mechanisms, Structure, Function and Models. Plenum, New York, pp. 241-250.
11. Henry K.R., Lewis E.R. One-tone suppression in the cochlear nerve of the gerbil. Hear. Res. 63:1992;1-6.
12. Hudspeth A.J., Corey D.P. Sensitivity, polarity, and conductance changes in the response of vertebrate hair cells to controlled mechanical stimuli. Proc. Natl. Acad. Sci. USA. 74:1977;2407-2411.
13. Lewis, E.R., 1986. Adaptation, suppression and tuning in amphibian acoustical fibers. In: Moore, B.C.J., Patterson, R.D. (Eds.), Auditory Frequency Analysis. Plenum, New York, pp. 129-136.
14. Lewis E.R., Henry K.R. Transient responses to tone bursts. Hear. Res. 37:1989;219-240.
15. Lewis E.R., Henry K.R. Dynamic changes in tuning in the gerbil cochlea. Hear. Res. 79:1994;183-189.
16. Lewis E.R., Henry K.R. Nonlinear effects of noise on phase-locked cochlear nerve responses to sinusoidal stimuli. Hear. Res. 92:1995;1-16.
17. Lewis E.R., Henry K.R., Yamada W.M. Essential roles of noise in neural coding and in studies of neural coding. Biosystems. 58:2000;109-115.
18. Lewis E.R., Henry K.R., Yamada W.M. Tuning and timing of excitation and inhibition in primary auditory nerve fibers. Hear. Res. 171:2002;13-31.
19. Møller A.R. Systems identification using pseudorandom noise applied to a sensorineural system. Comp. Math. Appl. 12A:1986;803-814.
20. Recio, A., Narayan, S.S., Ruggero, M.A., 1997. Wiener-kernel analysis of basilar-membrane responses to white noise. In: Lewis, E.R., Long, G.R., Lyon, R.F., Narins, P.M., Steele, C.R., Hecht-Poinar, E. (Eds.), Diversity in Auditory Mechanics. World Scientific Press, Singapore, pp. 325-331.
21. Rhode, W.S., 1976. Some observations on two-tone interactions measured by the Mossbauer effect. In: Evans, E.F. and Wilson, J.P. (Eds.), Psychophysics and Physiology of Hearing. Academic Press, New York, pp. 27-38.
22. Stein, R.B., 1970. The role of spike trains in transmitting and distorting sensory signals. In: Schmidt, F.O. (Ed.), The Neurosciences. Rockefeller University Press, New York, pp. 597-604.
23. Teich, M.C., Turcott, R.G., Lowen, S.B., 1991. The fractal doubly stochastic Poisson point process as a model for cochlear neural spike train. In: Dallos, P., Geisler, C.D., Matthews, J.W., Ruggero, M.A., Steele, C.R. (Eds.), Mechanics and Biophysics of Hearing. Plenum, New York, pp. 354-361.
24. van Dijk P., Wit H.P., Segenhout J.M., Tubis A. Wiener kernel analysis of inner-ear function in the American bullfrog. J. Acoust. Soc. Am. 95:1994;904-919.
25. van Dijk P., Wit H.P., Segenhout J.M. Dissecting the frog inner ear with Gaussian noise. I. Application of high-order Wiener-kernel analysis. Hear. Res. 114:1997;229-242.
26. van Dijk P., Wit H.P., Segenhout J.M. Dissecting the frog inner ear with Gaussian noise. II. Temperature-dependence of inner-ear function. Hear. Res. 114:1997;243-251.
27. Wolodkin, G., Yamada, W.M., Lewis, E.R., Henry, K.R., 1997. Spike rate models for auditory nerve fibers. In: Lewis, E.R., Long, G.R., Lyon, R.F., Narins, P.M., Steele, C.R., Hecht-Poinar, E. (Eds.), Diversity in Auditory Mechanics. World Scientific Press, Singapore, pp. 104-110.
28. Yamada, W.M., 1997. Second-order Wiener Kernel Analysis of Auditory Afferent Axons of the North American Bullfrog and Mongolian Gerbil Responding to Noise. Doctoral dissertation, Graduate Group in Neurobiology, University of California, Berkeley, CA.
29. Yamada W.M., Lewis E.R. Predicting the temporal responses of non-phase-locking bullfrog auditory units to complex acoustic waveforms. Hear. Res. 130:1999;155-170.
30. Yu X., Lewis E.R. Studies with spike initiators: linearization by noise allows continuous signal modulation in neural networks. IEEE Trans. Biomed. Eng. 36:1989;36-43.